{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "98438be2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e2a05ff5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 读取数据\n",
    "file_path='D:\\大二上\\\\EducationData.xlsx'\n",
    "cr_data= pd.read_excel(file_path,'Completion-rate')\n",
    "fl_data=pd.read_excel(file_path,'Foundational learning')\n",
    "lr_data=pd.read_excel(file_path,'Literacy rate')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48057711",
   "metadata": {},
   "source": [
    "## 探索 3 种教育指标数据的情况、数值分布情况等。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8b73fa1c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 606 entries, 0 to 605\n",
      "Data columns (total 8 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   Countries and areas  606 non-null    object \n",
      " 1   Development Regions  606 non-null    object \n",
      " 2   Total                321 non-null    float64\n",
      " 3   Female               321 non-null    float64\n",
      " 4   Male                 321 non-null    float64\n",
      " 5   Rural                318 non-null    float64\n",
      " 6   Urban                318 non-null    float64\n",
      " 7   educational level    321 non-null    object \n",
      "dtypes: float64(5), object(3)\n",
      "memory usage: 38.0+ KB\n"
     ]
    }
   ],
   "source": [
    "#不同教育级别儿童的完成率\n",
    "cr_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fc7e6d66",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 100 entries, 0 to 99\n",
      "Data columns (total 9 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   Countries and areas  100 non-null    object \n",
      " 1   Development regions  100 non-null    object \n",
      " 2   Age group            100 non-null    object \n",
      " 3   Subject              100 non-null    object \n",
      " 4   Total                100 non-null    float64\n",
      " 5   Girls                100 non-null    float64\n",
      " 6   Boys                 100 non-null    float64\n",
      " 7   Rural                94 non-null     float64\n",
      " 8   Urban                94 non-null     float64\n",
      "dtypes: float64(5), object(4)\n",
      "memory usage: 7.2+ KB\n"
     ]
    }
   ],
   "source": [
    "#不同年龄段儿童掌握基础学习技能的人数\n",
    "fl_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "24837c6c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 404 entries, 0 to 403\n",
      "Data columns (total 6 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   Countries and areas  404 non-null    object \n",
      " 1   Development Regions  404 non-null    object \n",
      " 2   Total                156 non-null    float64\n",
      " 3   Female               156 non-null    float64\n",
      " 4   Male                 156 non-null    float64\n",
      " 5   Age Range            156 non-null    object \n",
      "dtypes: float64(3), object(3)\n",
      "memory usage: 19.1+ KB\n"
     ]
    }
   ],
   "source": [
    "#不同国家青少年和成人识字能力的人数\n",
    "lr_data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2554f0a6",
   "metadata": {},
   "source": [
    "## 3.1缺失值分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8c01b654",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "删除前数据总量:  (606, 8)\n",
      "删除前数据总量:  (100, 9)\n",
      "删除前数据总量:  (404, 6)\n"
     ]
    }
   ],
   "source": [
    "cr_data.isnull().sum()\n",
    "print('删除前数据总量: ',cr_data.shape)\n",
    "fl_data.isnull().sum()\n",
    "print('删除前数据总量: ',fl_data.shape)\n",
    "lr_data.isnull().sum()\n",
    "print('删除前数据总量: ',lr_data.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ede4f9bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 3000x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用missingno库进行可视化展示\n",
    "import missingno\n",
    "missingno.matrix(cr_data,figsize=(30,5)) #以矩阵的形式\n",
    "\n",
    "#以条形图的方式查看\n",
    "missingno.bar(cr_data,sort='ascending',figsize=(30,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1fd026ce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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r1RYvvfRSJkyYkB49elSX/fe//83NN9+cs88+O2+++WYaGxszbty4/Pe//81hhx2WPfbYo3qtCsAsoqBUmpubqz/fcsstxcILL1xUKpXqo127dsURRxxR3WbChAnVn4888siioaGhmG222YrLLrusGDNmzAwdO5TVn/70p6KxsbGoVCrFfPPNVzz22GOTbdOS7aeffrpYa621ikqlUmy88cbFM888M6OHC7Ok1ufPL/Pee+8Vt99+e7H55psXRxxxRHH55ZdPcf8+ffoUK620kvMoTEMTJ06s/tzU1FR88sknk23z/vvvFxdeeGGx3XbbFb/5zW+Kq6++erJthg0bVsw111zFuuuuO8lzAt9N6/PgO++8M8m64cOHFxdeeGGx6KKLFpVKpdhtt92KkSNHFkXxeZ6LoijGjx9fFEVR/Otf/yoqlUqx1VZbzaCRQ3m0zulf/vKXolu3bkWlUilWX3314pZbbimK4n/n2+bm5uK6664rVlhhhaJ9+/bF3nvvXQwePLi6/2GHHVbMMcccxXHHHfeNXkcD38zLL79crLzyykVdXV1x/vnnV5efdtppRYcOHYr27dsXXbt2LSqVSrHNNttU17e+9jzssMOKdu3aFc8///wMHTvMyoYMGVKsvPLKRaVSKdZZZ53igw8+mGT9CSecUMw555yTfA7zy1/+snj22WeL0aNHF0VRFJ999lmxxhprFJVKpbj99tvb4jCgNJ599tnqa9T777+/mHPOOYtFF120+Otf/1qcf/75xdJLL11UKpVi2WWXLQ4++ODiscceK3bbbbeiUqkUK664YvHpp5+28REAMK0pTZXUTTfdVH2BfsABBxR33313cfXVVxcNDQ1FpVIp9txzz+oF9ZSKUz179izOP/98H/jCdNTyIVFRFMWJJ55Yzeexxx47SS5btC5OrbPOOtUPlMaNGzfDxgyzotYf9Dz11FPFxRdfXPTr16846aSTqh8gfZWxY8dWfz7ggAOKSqVS7L333sWYMWN8iATTQOsc3XDDDcVWW21V9O7du9h2222LE0888Wv3b53RnXfeuahUKsVvf/vbSc7DwLRx4YUXFiussELxj3/8Y5LlLcWpBRZYoOjUqVNx4IEHFiNGjJhs/379+hWVSqU44ogjiubmZuVGmA6uvvrqolKpFHPMMUdxwQUXTLa+5bz7xeLUlltuWdx6663FnnvuWVQqlaJnz57Fm2++OaOHD7O0Sy+9tPq+UIuzzjqr6NChQ9HQ0FA8++yzxSuvvFItPbYuGbd+D/fDDz+coeOGMhgyZEix0korfWlx6s477yyOO+644o9//GNx4403TvE5vv/97xeLL764jMJ0dPbZZxeVSqW47777iqIoitGjRxf77bdf0alTp0mKjXvvvXfxzDPPVN8zevPNN4uFFlqoqK+vLx5//PE2PAIApgelqRJ6+OGHi3nnnbfo3r37JG+AXXXVVUWHDh2qLwr22muv6jcdWhc0jjnmmKJSqRQLLbTQFN/IBqZec3PzJG9Ct/7A9pRTTqnm89xzz/3S/YuiKJ544oliww03NNMUfEetyxg333xzMf/881dzWFdXV1QqleLggw+e5M2w1hlu7fDDDy8qlUqx5JJLFq+99toMGT+UyWWXXTbZDKqVSqXYbrvtqrPWfFVRcb/99isqlUqx6qqrFu+///6MGjaUxrBhw4qNN964qFQqRd++fYt77713kvUjRowoLrjggmK++eYrKpVKse666xb/+c9/ihdffLEYNmxYscceexSVSqVYfPHFi/fee6+NjgJmbc8991x11rfrrruuuvyL58/Wr3dvvPHGYu21157kHLzUUksVb7zxRlEUhRIyTKUv5m78+PHFueeeW2y44YbFZ599VhRFUVx//fXFPPPMUzQ0NExyXj3nnHOqM5ZvscUW1eWtvywAfHdfzOmQIUOKFVdc8UuLU1/Uusx48MEHF5VKpdhxxx2rn8kA017Lez977rlnMWrUqKIoPp/p7dprry369+9fHHfccVMsNo4aNapYYIEFijXWWMP5FGAWpDRVMqNGjSp++ctfFpVKpTj55JOry0899dSisbGxaGhoKE477bSic+fO1Tb1lIpTv//9703jDNPI18000/pF+GmnnVZ9I/rPf/7zVz6fF+8w7dx8883V7B1yyCHFww8/XNx0003Vb/D+8pe/nGIR6qOPPiruu+++YqONNioqlUox//zzFy+88MKMPwCYxT322GPFbLPNVswxxxzFeeedV9x7773FZZddVnTv3r2oVCrFz3/+8yl+W/edd94p/v3vfxd9+/YtKpVKscQSSxRDhw4tisKHvDA9PPnkk8UOO+xQVCqVYs011yzuueeeSdaPGDGiuPDCC4vevXsXlUql6NixYzHbbLMVPXv2LCqVSvGDH/xARmE6aLmGbJll6sADD5xs3Zft09zcXDz99NPFYYcdVmywwQbFgQceWLz77rtFUcgpfBMtWZowYUK1DDVhwoTq8tazWbzzzjvFiy++WDQ1NRVjxowptttuu6Kurq7429/+VhTF/26h+eijjxadOnUq6uvri0qlUvzsZz+bkYcEpdD6/Pjwww8Xjz76aFEUX36rvtafrXzx3HrooYcWlUqlWGyxxYpXX311BoweyuvZZ58t+vTpU/Tp0+drv4zT+vOVltvzHXDAAVO8CwgAMzelqZJ5/fXXi9lnn73Yeuutq8suvPDCokuXLkVDQ0N1Ssrrr7+++uHwHnvsMcXiFPDdtb5IHjRoUHHqqacWP//5z4vf/OY3xWWXXVZd1/oWe9+kOAVMO48++mgx33zzFV27dp1khsa//e1vk8zQuMMOO0zy5tbYsWOL008/vVhooYWKSqVSbLjhhsXLL7/cFocAs5wv3pKrZZapq6++epLlzz77bLHUUksVlUql2GijjarFqebm5mLcuHHF/vvvX3Tt2rWor68vNtlkk+Kdd94pisKHvDCtffFWt9ttt91XFqcuuuiiok+fPkWlUinWX3/94rTTTiueeeaZ4qOPPiqKQkZhWms5r/7iF7+YZGbjb3sLzNZFDzmFb278+PHFeeedVxxwwAHF66+/Xl1+zTXXVD+g/aLHHnusqFQqxXLLLVd8+OGHk81cvvzyyxc77bRT9Xr1rbfemmHHA2UycODAor6+vujbt2+13P9lxanW58Z33nmnuPvuu4uf/OQnRaVSKRZZZBFfUocZ4LPPPiu23HLLolKpFPvuu+832mffffctKpVKsdJKK5mZHGAW1RBmWUVRpFKpJEk++OCD9OjRI/PPP39OOeWULLnkkkmSRx99NGeffXbGjh2bm2++OX379k1TU1M233zz7Ljjjrn88stz4YUXJklOP/30dOzYsc2OB2Y1rTN68803Z88998wHH3yQJLnzzjvT1NSU66+/PldeeWW6deuWpqamNDQ0ZP/990+SHHjggfnVr36VJNlrr73a5BhgVjd69Ohccskleeedd3LiiSdm9913T5KcdtppOfzwwzNx4sScfvrpOeecc3LllVemXbt2GTBgQHr37p3Gxsasv/76mTBhQnr16pX1118/c845ZxsfEcwa6urqkiRnn312OnXqlKIostZaa2WbbbZJkjQ3N6coiiy77LIZOHBgttxyy9x2223Zeeedc+mll2bOOedM+/bts99++6W+vj4rrbRSfvazn6V79+6ZOHFi6uvr2/LwYKbW+jVui9a/f//738+hhx6aJLn66qtzzDHHJEl+/OMfJ0m6d++eLbbYIkVR5Kijjsqzzz6bNdZYI4sttlg6dOiQCRMmpF27djPmYKAkWs6rc801V5KkS5cuST4/n7as+6IPP/ww3bp1S2NjYzWXDQ3/e5vRuRS+uREjRuT//b//l6uuuiqvvvpqBg4cmLvuuivbbrtt5phjjqy00kqT7dPc3Jz27dtnwQUXrF5njhs3Lo2NjRkzZkxeeumlHHTQQTnyyCMzYcKEzDfffDP6sGCWN3jw4Bx88MHp2LFj+vXrlwUWWCBJ0qdPn1x11VXZbrvtcv/992ebbbbJNddck549e1bf3x04cGAGDBiQ8ePH5+c//3lOO+209O7du42PCGZtRVGkU6dOOfroo3PPPffkoYceyhtvvJGFFlposuvYt956K//9739zzDHH5KGHHsoSSyyRG2+8MXPNNZf3jQBmRW3X12JGufrqq4tVVlmlGDhwYNHc3FyMHTu2+m3BM844o6hUKsWxxx5bFMXn3yJs+VbS4YcfXlQqlaJXr15FpVIp9t9//zY7BpiV3XLLLdVv/g0YMKB47rnniueee66Yb775qt/Af+ONN4qimHS2t9YzTp122mltNHqYtb377rtF9+7di80226y67KKLLiq6du1aNDQ0FPfff39RFEVxww03VPO40047TTKj1Pjx47/2NpzAt9Pc3Fw899xz1dwtu+yyxZprrjnZdi2veV944YVi6aWXnmzGqaKYdFaMbzujBvDlnnzyya+83cE3mXHqwgsvLHr16lV07dq1GDBgQPHJJ58URSGrMK21nAePP/74olKpFGuvvXYxcuTISda1aJkl469//Wux8sorV28nBky95ubm4sEHH6zOTLPKKqsUlUql6NmzZ3H55ZdPcZ8nnnii+lr45ptvnmTdIYccUlQqlWLgwIEzYvgwS2t9HvziOfGBBx4oKpVKcc4550xxmy+bcarFmWeeWQwcOLA6myrw3X3dtWJzc3MxcuTIYrPNNptkhtUvPscRRxxRdO7cuWhsbCy22GILM5MDzOKUpmZxDz74YNGlS5eiUqkUV155ZXV5c3NzMX78+OKHP/xhUalUiuuuu666vOU+vRdeeGGx8sorFxdccEGx2GKLFU899VSbHAPMyh5//PFioYUWKrp27VpceOGF1eVXXHFF0b59+6Jdu3ZFpVIp1lprrSkWp1qKj507dy4+/vjjGT5+KIOBAwdWb1/75JNPFiuuuGLR0NBQ3HrrrUVR/O9ieb/99pvkVn1DhgxpqyFDaZx00knV3K200krFa6+9NsmtSYpi0uLUMsssU1QqlWLTTTc1pTpMR1dddVXR0NBQHHXUUZN9ONTaoEGDik022aT6QdJdd901yfrWxalu3boVRx55ZLU4pZAMU++L+Wk5V7777rvF4osvXnTo0KE4+eSTq4WolvWtr0XXXXfdor6+vnjiiSdm0Khh1tbU1FS88sorxaKLLlrU19cX7du3L84888zq+il9CHzUUUdVy1Vnn312cdtttxW777579bZ9LR/wAt/eVxWZbrjhhuKQQw4p9txzz2LBBResLp9STr+uOOU1LUwfV1xxRXHOOecUn332WfW929aFp+uuu66oVCrFEkssMcmXX1uMHDmyOO6444rrr7+++mUChSmAWdeU59hmplUUxSS/33bbbRk3blwuuuiibL/99tXllUol7dq1yxJLLJEkmThxYpJk/PjxaWxsTJIMHDgwH330UXbfffc899xz+f73vz+DjgLKYezYsfnLX/6SoUOHZsCAAdltt92SfH4rzF133TXNzc3529/+lhVWWCEPPfRQdtxxx7zxxhtpaGhIU1NTkmTffffNOeeck4cffjg9evRoy8OBWdbmm2+etddeO8nnt7V98sknc9hhh+X//u//0tzcXN2uV69eSZLlllsuV155ZU488cRqVoFpqyV7Bx98cE466aQkyaBBg3LDDTekUqmkUqlUt6mrq0tzc3OWWmqpXHfddfne976Xm2++Ob/5zW8me+0MfHdNTU1555130qNHj5x33nk5//zz8+GHH05x2xVWWCE777xzunTpkn/961/505/+lHvvvbe6vnv37tlqq61y7LHHpkuXLjn33HNz9NFH59NPP53sFoDAV2t9zmtqasqIESPyzjvvJPnf7fm6du2anXbaKQ0NDTn//PPz17/+NZ9++ml1fcvt9/bdd9/cd9992XbbbbPkkkvO4COBWVN9fX2ef/75vPrqq0mSCRMm5MEHH8y777472bYtee7fv39+9atf5aOPPkr//v2z0UYb5aKLLso888yTa665JvPOO+8MPQaYVVx00UX5xS9+kccff3yyda+//nr69++fs846K88991y6d++eoii+9Ja2LbfqW2mllXL//fenX79+ef/996vrvaaFae/BBx/MjjvumF//+tfZeOONc+yxx2bEiBGT3FJv8803z+abb56hQ4fmxRdfTPK/95omTpyYbt26ZcCAAdliiy3SrVu3NDc3uyUfwCxMaWoW0/Ii+5FHHskLL7yQf/zjH1l//fWzyy67JMkkH+4mqRah9txzzzz88MPVwtSAAQNy1113Zc0118zYsWPTrl27GXgUUA5jxozJ/fffn5/+9Kf5zW9+kyS59NJLc/TRR2fixIm56667suWWW+aKK67IXHPNlQcffDD9+vWbrDi19957Z9lll23LQ4GZ2leVJlpfLDc1NeWWW25JkiyyyCJJPv+AqaV4vOiii6Z3797ZbbfdssYaa6R///7VD5aA7651Vuvq6jJhwoQkyUEHHZRTTz01yeclqksvvbS6zZSKU5dffnn69u2bo446yhvUMB00NDRkjz32yLHHHpvGxsacdtppUyxOtWR6k002yUorrVT9cLh///7517/+Vd2upTh1/PHH57PPPst1112XMWPGzNBjgpldURTVc97tt9+eXXfdNSuvvHJWWWWVbLzxxjnllFPyySefpHPnztlmm22yzTbb5M0338wxxxyTvffeO88//3z++9//5sUXX8x2222Xs88+O0sssUROPvnkdOrUSQkZppF333033//+93PkkUdmtdVWy/XXX5+99947b7311iSvbVvyPOecc+bUU0/Nueeemw033DA//elPs+++++bBBx/MUkst1ZaHAjOt999/PxdeeGHuuOOOnHTSSXnttdcmWT/PPPPkyCOPTJ8+ffLvf/87zz33XB577LEpFqZa9OnTJ1dffXVWX3313HPPPdltt90m+5wGmHYWXXTR/PWvf83aa6+dJ598Mr/73e+y6qqr5thjj80jjzyS5PNz6XrrrZexY8fmd7/7XT755JNqjlvKUa3fM/qqjAMw86sU3tmY5dxzzz1Zf/31s9FGG2XYsGHp27dvfv/732f8+PFp3759kknfMNtjjz1y0UUXpVKpZO21186nn36axx9/PPPOO28eeOCB9OnTpy0PB2ZZEydOzP3335/OnTtn9dVXz3PPPZfdd989jz/+eG644Yb8/Oc/r+b2iCOOyEknnZSmpqasueaa+ctf/lItbQBTr/X58NVXX80HH3yQQYMGZeGFF87SSy+dhRdeeJLtDznkkJxyyik555xzsvfee2fcuHHVwvEmm2ySJ554Im+99VaampoUpmAaaJ3RJJO8nv2iM844IwcccECS5JJLLskvf/nLJJnkG78tP7dkVFZh2mnJ18SJE1NfX59PP/00l112WU488cR89tln+f/s3WWYVdXfxvHvnp6ha+ihSzolBFRSQVQQ0AGV7pCU7m6ku6UEFFRCkC7pEKS7kWb6nPW84Dn7P0OYMCPD/bkuL2Z2zVovlrvu/Vtt2rShcePGJEuWzN7HdR4NDAwkODgYT09Ptm7dyt69e0mePHmU49+5c4fly5dTtGhRsmbNGt3dE3lpRT6Xzpgxg/r16wOQLVs2goODuXPnDvfu3ePtt99m4cKFJEmShJMnTzJp0iQWLVrEhQsX8Pb2tsd4aGgoefPmZfny5aRNm9Ye8yLyz0W+Xj1z5gwZMmRg165dNG/enN27d/P+++/z1VdfkTZt2ieuZ13u3r1L/PjxcTgcur4V+Zc2btxIv379SJAgAfPnz3/ig/LQ0FDmzJnDxIkT2bt3LzVq1GDw4MGkS5fuD497/PhxmjZtyogRIzSrh8gL8HjFt2vXrnHx4kX69evHtm3buHHjBpZl0bFjR9555x1KlSpFyZIl2bNnD/PmzePDDz98ZtU4ERGJ3RSaioU2b95Mo0aNOHnyJA6Hg8qVK9uVMSKLfJPdrl07Jk6cSHh4OL6+vmTOnJmFCxeqzLrIC+ZwOHBzc8OyLGbNmkXdunVp3bo1I0eOjPJwe/r06TRo0IBs2bJx7NgxKlSowIoVK/QgTORfiDzGfvjhBzp16sTZs2d5+PAhAIkTJ6Znz55UqlSJjBkzAv8bi15eXqxatYpChQoRN25cunbtysCBA6lWrRqzZs3C19dXFWxE/qXID6p+/vlnvv/+e1avXk3ChAlJlCgRLVq0IE+ePPbUmPDXglPwZBhLRP6+vzKOnhacatiwIcmTJ48SgsyePTslS5akY8eOJEqUiKRJkz71YbXGrsg/t2LFCt5//30SJUrE0KFDqV27Njdu3ODevXtUq1aN3377jaRJk3L27Fn8/Py4desWJ0+eZPjw4Zw7d47z589TqFAhihYtSsOGDUmWLJkCUyL/0F85n4WHh7Nnzx5atWrF7t27qVKlCmPGjCFt2rRRzqE//PADlSpVio5mi8R6ka8/f/vtNzJmzIiXlxdbtmzBx8eHQoUK2duGhIQwd+5chg8fzvnz52nVqhUtWrQgderUf/g3wsPDNauHyHPyV+8PIyIi2Lt3L9999x3jx4/n3r17GGP46KOPcHd3Z+HChdSuXZvZs2dHQ6tFROS/SKGpl9yzLgq2bt1KmzZt2L9/PwEBAUyZMoW33nrrD/fftWsXN2/eJHHixGTMmDHKF8Ai8s88a4y6lrv+F2xZFoGBgSxYsICxY8fSrFkznE4nDocDT09PfvzxR9q1a8eQIUMYP348AwcOJF++fNHcG5HYafny5XzwwQcAfPrpp6RJk4YLFy7w/fffExYWRmBgIHXr1qVYsWIANG/enAkTJuDl5WVPeXDgwAFSpkzJhg0byJIlS0x1RSTWiHz+nDlzJk2aNCEsLAwAPz8/goKCSJw4MRUrVqRt27YUKFDA3vdZwSmFLUSen8gvlH799VeOHTvGjh07yJQpE6lTp6Zy5cr2tvfv32fWrFkMGTKEBw8eUKdOHb744gsCAgIAaNOmDaNHj2bq1KlRppXX170iz8+dO3eoVq0a69evZ86cOdSqVctet3//fj777DMOHz5My5YtGT169BP7h4SEcOvWLVKlSmWPT41TkT/3ZwHgM2fOcObMGXbt2kWmTJlInjw5JUuWtLd1OBzs2rXLDk69//77jBo1yq5mM3DgQLp27frMsSsi/97PP/9M2bJleffdd+nbty/58+e314WGhjJv3jwGDhzItWvXaNGiBc2bN//T4JSI/HuRz7H79u3j2LFj/Pzzz2TOnJmMGTPy4YcfPjXcv3fvXvbs2cOQIUM4deqUvdzT05MlS5ZEuZcVEZFXiJFY4dy5cyY4ODjKsk2bNpmCBQsay7LMhx9+aE6cOPHUfR0OR3Q0USTWe3wsOZ1O++ezZ8+aXbt2mUWLFplDhw6ZK1euPLFf9+7djWVZplu3bk8cu2bNmiZ+/PhPjHMR+Xf27dtnUqRIYSzLMlOnTo2ybsiQIcbLy8tYlmVmz54dZV379u1NQECAsSzLJEqUyBQsWND89ttv0dl0kVfCN998YyzLMsmSJTMTJkww+/fvN3v37jUNGjQwmTJlMpZlmWLFipmdO3dG2e+rr74ylmUZy7LMuHHjYqj1IrFT5Gvcr7/+2qRLl84eb67/qlWrZg4ePGhfu967d8+MGzfOZM6c2ViWZbJmzWqaNWtmSpUqZSzLMjlz5jTXrl2LqS6JvPSOHTtmHj58+Mz1p06dMj4+PubDDz+Msnz79u0mT548xrIs07lz5yjrXGPd9a/rvjXy/wNE5NkiIiKMMcbcunXL7N271xgTdfz88MMPJleuXMbT09M+f7q7u5uGDRuaU6dOmfDwcPs427dvN0WKFDGWZZnSpUubnTt3mrZt29r3o4cOHYr+DorEApHPcQ8ePDCzZ88269ati7LN+vXrTdGiRY27u7upVq2a2bNnT5T1ISEhZtq0aSZz5swmbty4pnPnzubixYvR1geRV1Hk8+m8efNM6tSpjbu7e5R70o8//tgsW7bMvoYNCwuLcoxr166ZadOmmUqVKhkfHx/j5uZmOnbsaIzRO1MRkVeRQlOxwOLFi42Pj4+ZNm3aE4GKrVu3mgIFChjLskzNmjXNyZMnY6iVIrHbN998YxYuXGiPwcgX1suXLzfZs2c3vr6+xrIsEzduXFOoUCEzY8aMKMdYtWqVfVE/YcIEExISYkJDQ03nzp2NZVmmSpUq5v79+9HZLZFYyzVGhw0bZizLMn369Imy/tdffzXFixc3lmWZRo0a2ctDQ0Ptn48fP27Wr19vDh8+bG7cuBE9DRd5hVy4cMF+ObRgwYIo60JCQsyCBQtM6dKljWVZplKlSub48eNRthk7dqyxLMv4+vqaBw8e6CWvyHM2e/ZsY1mW8fDwMC1btjRdu3Y1n3/+uUmQIIGxLMsUKVLEfPvtt3aQ48GDB2bJkiWmbNmyUR5m58uXz5w/f94Y878XzCLy140aNcr4+/ub+fPnm6CgoKdus3nzZmNZlqlXr569bPv27SZv3rxPDUxdunTJLFq0yISEhLzQtovEVq7z2bVr10y2bNlMnjx5zOnTp+313377rX0erFWrlmncuLGpUqWK8fDwMJZlmTJlypg1a9bYL3gdDof55ZdfTMmSJaOcQwMCAszhw4djpI8iLzvXc6F79+6ZwYMHmxIlSthj6+eff46y7ebNm81bb71lfxyg4JTIf8PcuXONZVnGx8fHtGvXzvTu3du0adPGvifNkSOHGTt2rD3eH//XZfr06SZRokQmbty45ujRo9HeDxERiXkKTcUCHTt2NJZlGX9/fzN79uw/DE7VqFFDwSmR52zLli3GsiyTOXNm8+2330YZg99//719w12hQgXz1ltvmWzZstnLOnfuHKXqVOTKGLly5bK3TZkypTl27FhMdE8kVitfvrzx8PAwv/76q73swIEDplixYsayLNOsWbMo20cOTYnIv3PgwIE/DAPv37/fxIsXz1SqVMle5nA47IdbERER5vvvvzd58uQxceLEMWPHjjXGRB2n06ZNi/KCSkSejx07dpgkSZKYuHHjmiVLlkRZd+jQIbvicf78+c2mTZuirHc6nebrr782U6dONYsWLTI3b940xigwJfJPBAUFmXr16tkV23755Zenbrdnzx77YzpjHr38fVpgynUvO2PGDJM7d26zfv36F94HkdjGdT67fv26yZIli7Esy7Rp08auHOWqduzt7W1mzpxp7+d0Os2mTZvsfd54440nqqnevXvXNG3a1Hz00UemcePGus4V+Ydc95Q3btww5cqVM5ZlmTRp0pjAwEAzdepU+/wXOVixadOmvxycSpw4sWnVqpW5fPlytPVJ5FWze/dukzx5cuPn5/fEPemmTZtM1apVjY+Pj8mUKdMTMwi4RB7jrVq1MpZlmd69ez+xTkREYj+FpmKJHj16GHd3d5MoUaI/DU6p4pTI83X+/HlTr1494+vra3LlymWWLl1qgoKCzIMHD0zhwoVNggQJzPTp040xxoSHh5vTp0+boUOH2uGoNm3amAcPHtjHmzZtmkmZMqWxLMskTpzYFCtWTNN+ifxLkSvMRP4Cv2LFiiZhwoT2g6x9+/Y9NTAVHh5u7ty5Yxo3bmx27NgRfQ0XiaVGjx5tT533rOmEXF8Mvvnmm09UznCN6bCwMNO/f39jWZbJmzevXRHj8YdbrpdUIvJ8TJo0yViWZXr27Gkvczqd9lg7deqU/VKpYsWK9gvkZwWj9EBa5J+7evWqadOmjWnQoIG9zDXWXOfL69evm5w5cxpPT08zYcIEO9jYqVMnex/XOTQiIsLky5fPpE2b1pw5cyb6OiISC0QOTLmmpG3dunWUKYFc59Avv/zSXuZ0Ou199+/fb1dbrVGjxhPHdtH1rcg/EzkwlT17dmNZlnnnnXfM+fPnn7jvfHzcbdiw4U+DUzNmzDBJkiQxadKk0fTTIi/QtGnTjGVZpmvXrvayyGP2yJEjpk6dOsbNzc2ULVvWXLhwwRjz5FTTrv8n7Nixw/j4+JgSJUpEQ+tFROS/RqGpl1zki4CuXbv+5eBUYGCgqtaIPAeui+xLly6ZJk2aGE9PT5MzZ07z7bffmmPHjhk/Pz/Tq1evp+7rmtLEsiwzYsSIKOvOnj1r9u/fb44dO2Zu3779orsh8spYunSpadOmjTl06JAxxpjq1asby7LM7Nmzzb59++wp+SIHplzn0ytXrhhPT09TuXJlvdwV+Ze6d+9u3NzcTIIECZ5ZxWLv3r0mQYIEpkCBAubu3bvGmKjBCtc5+N69eyZt2rTG19dX05OIvACPP1R2Op3mww8/NJZlmSlTphhjor64dY3T3377zfj7+xvLsszgwYP/0rFF5O9xjSHXedIYY+bPn2/mzp37RCi5e/fuxrIs4+3tbSzLMn379rXXubZ1Op2mQYMGxrIs07ZtW03PJ/I3PC0w1bJlSzsw5TpXus6hkT+uc3GN6Z07dxo/Pz9jWZZdTTXy+sd/FpG/586dO/ZU782aNbOrFbuuYyN/DGDMo+e0Ln8WnAoODjZz5swxJ06ciIaeiLw6Hp9aLzAw0FiWZb766qsoyyPbuXOnyZkz51Pfvzx+3OvXrxt/f3+TM2fOZ37cJyIisZcb8lIwxjx1ubu7Ow6HA4B+/frRqVMn7t27R+vWrVm8eDHBwcH2tsWLF2fMmDEUKVKE+fPnM2jQIMLDw6Ol/SKxlWVZGGNIlSoV3bp1o379+hw7dozu3buzcuVKLMuiRIkSAPZYdTqdAHz66aeMGzcOgI4dO7J161b7uOnSpSNv3rxkzZqVhAkTRm+nRGKpn376iWrVqjFq1CguX74MQIMGDfDw8GD06NHUqVOH7du306xZM3tshoaG4uPjA0DLli1xOp3UqlULNzddQon8G3369GHgwIHUrFmTN998E4CIiIgo2yRJkoQECRKwb98+RowYAYCbm5t9HrUsi7CwMHx9fUmcODEhISHcvn07WvshEtsZY7AsC4CzZ89y//59LMsiRYoUANy6dQsADw8Pex83NzccDgfZsmWjV69eABw9evSpx3cdW0T+GdcYih8/PgBbt24lMDCQrl278uOPP0Z5JtS7d28++OADwsLCSJAgATVq1LDX+fn5AdC+fXumTZvG66+/TqdOnfD29n7m8ygR+R+Hw4G7uzs3btzgjTfe4NSpU7Rs2ZKvvvoKT09PHA6Hfa709/cH4OHDh0DUc6jrGVORIkXo27cvAAcOHIiy/mk/i8hf53A4GDlyJJs2baJy5cqMHDkSLy8vHA6H/azH6XTaY7Nu3bq0adOG/fv3A1C6dGl69uzJm2++ydKlSxkwYAB79+61j+/j40Pt2rXJnDlztPdNJLa4f/8+58+fZ+nSpezbt4+bN2/a95mucZolSxYA+znQ065ZixQpwhdffAHADz/8QEREhP1MycV1vJEjR3Ljxg0CAgL03FdE5BWk//O/JFw3wlu2bOHatWtR1j0enOrcuTN3797liy++YOnSpU8Ep4YMGUKpUqVo06YNnp6e0dcJkVjKPKraR+rUqenevTsNGjTg119/ZdCgQQQFBRESEgL87wI88gvfpk2bEhgYiMPh4PDhw/bxROTfizyWwsLCGDduHPHjx2fixImUL18egFy5clGpUiX279/PwYMH+eijjxg7diwAQUFBeHt7A9CjRw+WLFlC2bJlKVOmTPR3RiQWcV23duzYkUmTJgEwdepUxo8fb788AggICGDgwIHAo2vcKVOmAP8LZISHh+Pl5YWbmxsPHz4kR44cvPbaa9HcG5HYzXUfOnnyZEqVKsXixYsByJMnDwAzZ87k4MGDT+zn7u4OQJo0aQDYt28f9+/ff+IBtYg8X5kyZaJx48bcvHmTrl27smLFCvuZkGVZDBgwgMqVK3P37l1y585N9+7dmTx5MpMmTaJUqVKMHDmSDBkysGjRIpIlS4bT6VQwQ+RPuAJT169fp0SJEpw4cQKAI0eO2NtEvjfNlCkT8Oj617VtZK4xlz59egD27t1LUFCQnhWJPCchISH89NNPpEmThkmTJtmBKdf1a0REhP1zgwYNmDVrFt9++y1jxoyxQ4yPB6eGDBnCzp07Y6xPIrHJpUuXaNCgAWXLluWjjz6iQoUKVKxYkdOnT+Pu7m5/cOf6kGfatGmcOXMGd3f3KOdK18958uTBsiwuXLhAeHj4U69t9+7dy5w5c/Dy8mLUqFH2B7QiIvLqUGjqP+RZN7+u5WvWrKFUqVJ88skn3LhxI8o2kYNTffr0oWXLlty+fZs2bdo8EZwqVaoUK1euJHfu3C+oJyKvDmMMbm5uWJbFuXPnSJUqFT179qRhw4b2S6Hx48dz8+bNKBfkkb9WyJ49OwAbNmyI1raLxHauMXf+/HmuXLnCxo0bqV+/Po0aNQKwq8Q1adKEXLly2fv8+OOPwKOvA0NDQ2ndujX9+vUjbdq0jBs3jmTJksVMh0RiiccfZO3bt49GjRrxxRdfMG/evCjBqUqVKtGuXTucTicdOnRgyJAh9jFc4f+2bdty6tQp8ubNqwdbIi/AunXraNu2LRcvXiRu3LgAvPvuu5QqVYrTp08zZ84crly5Ym9vjLErGgcEBACQLVs24sWLpy92RV4gYwwpUqSgd+/e1KtXj3PnztG9e3dWrFhBUFAQ8GgsTp06lUaNGhEeHk7//v1p0qQJTZs25dChQ7z33nts3ryZtGnTRvmSX0SeLnKFqRIlSnDy5EkqVqyIv78/69ato1y5csCjalJhYWEAfPTRRxQpUoSTJ08yZ84cbt68GeWYrnOoK1yVPn16/Pz8FGAUeU5Wr17N9u3bee2110iYMCFOp9MOScH/qr/Vr1+f6dOnkzNnTlKnTs2MGTMYNWrUE8GpsmXLsmjRIsaPH09oaGiM9Ekktjhz5gylS5dm8eLFOBwO0qRJg5eXF3v37qVixYpcuHDBHqONGjXirbfe4sKFC3z55ZdcvnwZy7LsdzKucFWiRInw8PAgW7Zs+Pr6PvV8GhAQQI8ePThw4ABZs2aNvg6LiMh/hp5+/Ee4vt4LDQ3lwoUL/PTTT3aAwnUST5MmDRkzZmTDhg18/vnnXL9+Pcox3N3d7eOMGjWKN998k5s3b9K6dWuWLFkSJTjl6+sbbX0Tic1c43PRokVky5aNCRMmkCJFCrp160bVqlVJlCgRu3fv5uuvv7YfVLteFLsemLm+1I8XL16UY4rIv7dkyRKyZMnC/Pnz8ff3p1SpUgBRpqetUKECffv2pXDhwixZsoTKlStTokQJSpYsyWuvvcaYMWPIkCEDK1eutB9ci8i/E/lclz9/fnr37k3cuHFp06YNc+bMsYNTCRIkoEGDBrRo0YJ79+7RqVMnatSoQc+ePZk3bx7vv/8+X331FRkyZGDYsGH4+fnpK3yRf+nxalAbN24kLCyMhQsX2tN5pU2blmrVquHj48PUqVOZMmUKx48ft/dxhRqHDx8OQMGCBe3qrCLyYrheEvn7+9O1a1caNWpkB6e+//57goKCsCwLf39/Jk6cyE8//cTkyZPp0aMHQ4YMYe3atcyZM4dUqVJFqbghIk8XOTBVvHhxTp06RevWrZk/fz4TJkwgWbJkrFu3zq5y7OXlhdPpJG3atHz44YcATJkyhdmzZ3PhwgX7mK5z6IQJEwAoVKiQzqEiz1FISAiWZVG4cGF8fX2fGhDu2rUrM2bM4K233mLlypVMnDiRgIAAZs2axejRo+3p+EqXLs2XX35J5cqV6dixo12tXET+vjNnzlC8eHFOnz5Nw4YNOXToENu3b2fixInkz5+fkydPMnv2bIwxdri/RYsWZMqUiRUrVtC9e3fOnTtnj2nX+XTQoEGEh4dToEABjDFPrX6cNGlS6tevT7Zs2aK1zyIi8h9iJMZFREQYY4y5deuW+eyzz0zWrFmNZVnGsixTvnx5s2DBAnPnzh1jjDFHjx41uXPnNpZlmXfeecdcu3btieOFh4cbY4zp06eP8fT0NEmSJDGWZZkFCxZEX6dEXiG//PKLSZ48ubEsy4wfP95efvHiRdOkSRPj4+NjsmXLZmbNmmWP5bCwMHu7zz77zFiWZYYMGWKMMcbpdEZvB0Risa5duxrLskycOHGMZVlmwoQJUdZHHm+7du0yAwYMMOnTpzcJEiQwlmWZQoUKmS+++MKcPXs2upsuEis5HI4ov7uuW40xZsCAAcbHx8f4+fmZCRMmmPv379vrLl68aL766ivj6elpXye7/itWrJg5f/68MeZ/19Ui8u/98MMPZvv27aZEiRLm3XfftZe7xm1ERIT58ssvja+vr4kTJ455//33zbJly8zFixfNlStXTOPGjY1lWSZPnjzm+vXrMdUNkVjn8fvFiIiIKPeXLlevXjUtW7Y03t7eJmvWrGbhwoXm4cOHf3r8x8/VIvJsV69eNRkyZDCWZZlWrVrZY/HevXtm3rx59rOicuXKRdnvwYMHpmnTpsbd3d0kSpTIfPrpp2bTpk3mzp07JigoyHTo0MFYlmWyZMliX+eKyPMxYsQIY1mWqVatmgkLC3viHjI0NNTMmTPHfP755+bQoUP28nnz5pmMGTMay7JM3bp1zY0bN+x1QUFB0dZ+kdjo9OnTJmXKlMayLNOlS5co60JDQ824ceOMZVmmadOmUdbdunXLjBo1ygQEBNj3nitWrDC7du0y58+fN/Xr1zeWZZlcuXI99V2qiIiIi2WMPlOJSZG/SipXrhwHDx4kTZo0JEiQgFOnThESEsJrr71Gu3bt+Pjjj/H19eXYsWNUr16dw4cPU7FiRWbOnIm/v799zIiICDw8PJg+fTqjRo2iaNGiLF68mO3bt9vTgInIP2eMiVIhY8SIEbRv354ZM2bw+eefA4++0Hdzc+PSpUv069eP6dOnkzx5cmrUqEHLli1JkyYN7u7udO7cmcGDBxMQEMCmTZvsKUxE5Pnp1asXEyZM4MaNG1SuXJmxY8dGGWuPj+kbN25w69Yt7ty5Q548eXBzc9PXgiLP2caNG8mfPz/x48e3r10BBg4cSJ8+fXBzc2P48OHUqlXLrsQIsH//fjZv3szhw4dJlCgRBQoUoFy5ciRKlEhVMUSeo1WrVvHuu+/y+uuvY4yhWLFijBw5kvDwcDw9Pe1rXYfDweDBg5k3bx5Hjx4FIHHixERERHDv3j2yZcvGmjVrSJs2rb2PiPx1N2/eJGnSpPbvkcfR6tWr2bBhA3v27MHX15fy5cuTN29e3njjDXv7a9eu0b9/fyZPnky6dOno27cv7733Hr6+vk9cA4vI37dz506KFStGixYtGDFiBB4eHvY4DQ4OZtmyZbRt25br169TtmxZ1qxZY+/74MED+vbty6JFizh37hzwqJJjeHg4V69eJXXq1KxZs4YcOXLEVPdEYqW1a9dSqVIlChQowKZNm6Jc27qEhoYSHh5O3Lhxo9yvzpgxg6ZNm5IwYUI2bNhA1qxZdX0r8i+dOXOGN954gytXrtClSxf69esHEOUZz/Lly6lduzZ9+vShWLFihISEEBAQQIYMGQgNDWXhwoWMHTuW3bt329e3Pj4+BAcHkyNHDlatWmVPP63nRiIi8lQxmdh61bm+Yrh+/brJnDmzsSzL1K5d29y9e9cEBQWZffv2mSJFihjLskzx4sXNmTNn7H1/++03u+LUu+++a65cufLE8cuXL2/KlCljjDHm5s2b0dInkdjE9RV9WFhYlEoYLj/++KPZtWuXqV+/vilSpIi93PVlrusLYFfFqbhx4xrLsoyXl5fJly+fSZo0qbEsy+TIkcMcOXIkGnok8mqJ/LVgt27dTPz48U2cOHHM2LFjn/mVfeQv61X1TeTFmD9/vv1l771794wxf73i1LOoKobI83X06FFTunRp4+XlZSzLMm+88cYTX9C7xp3D4TBbtmwxnTp1MhkyZDBJkiQxpUqVMm3atDFXr141xqgKnMg/0atXL+Pv72/27dtnjIl6bTpz5swnKi9almUCAgJM7969oxznaRWnVBFD5Pk5ceKEXWHq8fNdUFDQH1acCg4ONitXrjSNGjUySZMmNT4+PqZAgQKmXr165vTp09HWB5FXycWLF+2KNt26dbOX/9EzoJCQEGOMMTt37jReXl7mo48+euHtFHkVhISEmHTp0hnLskyBAgXs615jHt1nus6rEyZMMHHjxjWJEiWyZwdInDix+eKLL8zBgweNMY+ueVu3bm3KlCljUqRIYd555x3TuXNnu8KU7klFROSPKDQVQyIHprJkyWIsyzJt2rQxwcHBxpj/Td21f/9+kypVKmNZlunXr58x5n8vlSIHp9566y2zYcMGc+vWLWOMMV26dDGWZZlmzZoZp9OpF78i/9Dly5dNhQoVzLJly6JMebBt2zZjWZZJliyZKV68uAkMDDTGPPnS9vHgVIoUKYxlWaZ69eqmVatW5rvvvjMXLlyIvg6JxGKRz3Wun0NDQ+1lPXv2NF5eXiZ+/Phm+vTpelkkEk0evw7dsWOH/ZA6MDDwLwWnHjx4YK+LiIiwj6lrXJF/71nXr8eOHTPlypUz3t7eJnXq1Oa777574kHz4/veuXPH/mDHta0eTov8feHh4eatt94ylmWZnDlzmgMHDtjrfvrpJ+Pl5WXixYtnhgwZYn788UczfPhwU6VKFePh4WE/C4pMwSmRF+9Z57s/C065XLlyxZw7d86Eh4fbAQ0ReTHGjBljfHx8TJYsWcyiRYvs5U+7v4w8tqtUqWJ8fHzMihUrnrm9iPw9W7ZsMX5+fsayLFO/fn2ze/fuKOt37txp4sSJYyzLMmXLljUtWrQwlStXNm5ubsbLy8u8++67ZufOnfb24eHhTwSldE8qIiJ/RqGpGHTjxg27wlStWrXsE/fjXycNGzbMWJZl+vfvb4wxUUJQv/32m12NKkWKFCZXrlymUKFCxrIskypVKnPy5MkY6JlI7PHOO+8Yy7JM7ty5zcqVK+3xGRwcbN599137i94CBQqYy5cvP/UYrvF64cIF06RJExM/fnyTIUMG+wZbRP65yA+obt26ZS5fvmx+/fXXKOMxchCjV69extPTU8EpkWgSeYz+9NNP5osvvjANGzY06dKlM+7u7sayLPPZZ5/97eCUiDx/hw4dMnfu3Imy7LfffjPlypUzlmWZEiVKmL179z715ZBrmSo2ivx7rrHz4MEDU7VqVWNZlsmWLZv95X2nTp2Mm5ubWbx4cZT9Ll++bMaNG2c8PT2NZVmmY8eOUdY/Hpz65ptvFMwQiSZ/FJxyjUOdQ0Wiz9WrV03ZsmWNZVnmzTffjPKMNnK4IvL9abt27YxlWeb999/XrB4iz9kvv/xiv2f5/PPP7eDU3r177UBV9+7do+wzfPhwkzJlSuPn52cXnHj8vlTnUxER+as04XIMunTpEqdOncKyLNzc3Dh9+jTGGDw9PQHsuXd///13LMvi/v37XLt2jdu3b9vrsmXLxty5c2ncuDGJEiXi119/5ezZsxQsWJCff/6ZTJkyxVj/RGKD2bNnkydPHg4fPkybNm1Yu3YtQUFB+Pj4sHTpUt5//30Azp49y7Zt2556DMuyMMaQJk0aunXrRpUqVbh//z7Zs2ePzq6IxDrGGPt8uG7dOj7++GPy5s1Lrly5KFmyJD169MDhcODh4YExBoCePXvStWtXgoOD+eKLL1iwYAHBwcEx2Q2RWM01RmfOnMm7777LV199xe+//84bb7zBu+++C8CcOXNo3rw59+/fx8PDg4iICAA6d+5Mjx49cDqddOrUicmTJxMUFBRjfRGJzWbMmEGePHkYN24c9+7ds5dny5aNsWPHUq5cObZt20bbtm05cOCAfV51cY11Nze3J5aJyN9jWRYOh4M4ceIwe/ZsqlSpwvHjx/nkk0/Yv38/p0+fpnjx4nz00UcAhIeHA5AyZUqaNWvG1KlTcXd3Z9SoUXz99dcAOJ1OkidPTteuXWnUqBFnz56lV69e7N+/314vIi+Or68vH374ISNGjMDf35+1a9dSvnx5ALy9vYmIiNA5VCQaJU+enHHjxpE1a1Y2btxI//79mTp1KgDu7u72dh4eHgB06tSJESNGkDZtWkaMGEGSJElipN0isVXhwoXZuXMn8Oh9zLRp05g3bx4lS5YkJCSEwYMH06dPHwBCQkIAaNu2LYGBgQQHBzNhwgRu3br1xH2pzqciIvJXWebxp50SrXbt2kXRokUxxvDpp5/Spk0b8uXLZ693Op188MEHfP/992TMmBE3Nze8vLwoUqQI5cqVo1SpUqROnZrw8HDu3r3Lpk2bSJcuHWnTpsXf3z/mOiYSC0RERODh4cGtW7coVaoUR44cIVu2bIwYMYLSpUvj5+dHSEgItWrVYtmyZaRLl47FixdTqFChpx7PFfC4cuUK8Oihtoj8e8uWLaN69eo4nU5KlSpFQEAAa9as4fr169SsWZO+ffuSOXPmKPv07t2b/v374+vry+jRo6lRowZ+fn4x1AOR2G316tW88847xI8fn2nTplGtWjUAgoODWb9+PYGBgdy7d49atWoxfvx44sWLZ5+DAYYMGUKnTp3IlCkT+/fvJ06cODHZHZFYIXLwGGD06NEMGDCA+/fv079/f+rVq0eCBAns9SdOnKBFixb89NNPlC5dmpEjR5I3b149hBZ5gRwOB+7u7jx8+JBatWqxfPlyMmbMSJIkSciYMSPz58/H6XRGCVoA3Lt3j379+jFixAgaNmzIhAkTgP+N+2vXrtGrVy8mTZpEhQoVWLlyZUx0T+SVFBwczLJly2jbti3Xr1+nYsWK/PDDDzqfisSQI0eOULt2bQ4cOICXlxc1atSgSZMmpE2bFqfTydGjRxk1ahSrV68mderUrFmzhhw5csR0s0VirV27dvH6668D4OnpicPhYPDgwbRr1w7AvvZ1/XvkyBFKly6Nm5sbe/bsIU2aNDHZfBEReYkpNPUfEPlC4LPPPqNFixZ26OLzzz9nzpw5+Pj4kD9/fq5fv87FixcJDQ0FIEWKFNSsWZPSpUvz9ttvEzdu3CcemInIP+d6afv7779TunTppwanQkNDqVWrFkuXLiVDhgwsWrSIggULPvV4j7+gEpF/Z926dVSpUgV3d3f69etHq1atAOjevTuDBg3C4XDw3nvvMXjw4Cequ/Xu3ZuhQ4cSFBTE7NmzqV27dkx0QSTW+/LLLxk6dChDhw61H3TB/x527dixgw8++IDr16/z6aefMnbs2CeCU2PHjuX9998nbdq0OpeK/EuRx9DmzZvZv38/R48eZdWqVZw9exZ3d3eGDh1K3bp1nxmcKlWqFCNHjiRfvnwajyIvUOTg1CeffML3338PQNq0adm8eTMBAQFP3e/HH3+kcuXKxI0bl6NHj5I6dWrgf+P/6tWrlCxZklOnTrFu3TreeuutaOuTyKvOFZzq2LEjly9f5oMPPmDp0qUx3SyRV9bp06fp06cP33zzDUFBQfYHdZZl8fDhQzw8PChVqhSTJk3SrB4i0WDXrl2ULFmSsLAwChUqxMyZM3nttdeibOO6Rt6zZw8lS5akUKFC/Pzzz/YzJBERkb9L6Zr/gMdLT06cOJETJ05Qt25d5syZQ5EiRdiyZQtbt25lz549bNmyha5du1KyZEmuXr3K6NGjqVq1Kp9//jn379+P4d6IxC6uaYKSJEnCxo0bee211zh27Bht27Zl06ZNBAUF4e3tzbx586hWrRpnzpyhRo0a7Nmz56nH00slkefn/Pnz9OnTh+DgYIYOHWoHpkaOHMngwYNxc3PjtddeY8WKFXTt2pWjR49G2b9nz540b96cpEmTPrNCnIj8OxEREWzatAnArvjmcDiAR+XSjTEULVqURYsWAY+m6mvatKk9VZ9ryqEWLVqQNm1aHA6HzqUi/1LkaTPfeecdWrduzenTp/H396dQoUI4HA46dOjA1KlTo0zVlyVLFnuqvk2bNtGhQwd2794dU90QibUiT5Xn7u5OREQEceLEYf78+fbUtvfv32fjxo32lLaPe/PNN8mRIwdhYWFRpqJ2jf8UKVKQJk0aEiZMSKJEiV5gb0Tkca6p+vr27UuWLFno3r17TDdJ5JWWMWNGxo0bx/fff0/lypXJnTs3Xl5epE6dmo8//pgFCxYwf/58BaZEoknhwoXZtGkT7u7u7N69m+HDh0d51xIeHo67uztOp5NBgwYREhJCyZIlVUxCRET+FVWa+g+JXHEqc+bMnDx5kjfffJNJkyaRJUuWp+6zePFi9u3bx+zZs1m9ejU5c+aMziaLvPRcXyX8WdWKv1pxqnbt2ixZsuRPK06JyL+3cOFCPvnkE7p162bPaz9u3Dg6dOhAeHg4u3btIkGCBBQpUoTff/+dqlWr0rdv3ydKqd+4cYNkyZLFRBdEXgnVq1dnyZIlzJ07l8DAwCfWuypO9ejRg379+gHw8ccfM3PmTLy8vOxztYg8Pz/88APvvfceSZMmZcyYMdSsWZPg4GCMMfTu3Zvhw4cDMGjQIBo2bPhExakvvviClStXUrVqVebPn4+np2dMdUUk1tqzZw/58+fHzc3Nvh+NXHEqffr0zJ8/336OBI9eInl6enL79m3y58+Pp6cnO3bsIEmSJFGOPWbMGFq3bk3BggX5/vvvSZ48eXR3T+SVFxwcTHh4OPHjx4/ppojI/wsJCcHHx4dr167h6+ur8SkSgx6foeeLL76wp4h3OBx07tyZYcOGkT9/flatWqVnuyIi8q8oevsf4qo45eHhwcmTJ0mZMiUtW7a0A1ORvzZ0faFfvXp1BgwYwLFjxxSYEvkH3N3duXLlCg0aNODSpUvP3O5ZFafatWvHjh07MMbg7e3N3Llz7YpTgYGBdhU5EXn+EiRIwOuvv07r1q0B+O677xg4cCDh4eGsXLmSfPnykSFDBqZOnQrA0qVL6dy5M8eOHYtyHN1Ui7xYefLkAWDSpEmcOXPmifWurwHTpk0LQMqUKVmwYIFdPc4VbhaRf881lubPnw9Av379qFmzJgA+Pj74+fkxePBghg8fjre3N507d2b69OncuXPHPkaWLFkYPnw4n3zyCcOGDVNgSuQFmDlzJoULF6ZTp044nU77fjROnDgsWLCAKlWqcPbsWWrVqsV3333HzZs3Aezx2L17d86fP0+uXLmIEyfOE8cvWbIk+fPnZ8aMGQpMicQQBTJE/nu8vb2BR8+J4sWLB6B7UZEY8vgMPSNHjuTEiRMAdOvWjWHDhpEmTRq+++47kiVLZr8zFRER+SdUaeo/aOfOnZQqVYrw8HAaNmxI48aNKVCgAMAT1XBcv/9ZlRwRebrw8HCKFi3Kvn37ePfdd5kyZQopU6Z85vaRK06VKlWKo0ePkitXLlavXm3vFxoaSp06dVi4cCF58+Zl+/bt+Pj4RFeXRF4ply5dInny5Li7u9OoUSNmzJjB1KlTqVOnDhEREViWxe+//06ZMmU4efIkoaGhlChRgunTpz+ziqOIPB+uc+bRo0epXbs2J0+epEePHtSrVy/KVECuqhjr16+nXbt2tG3bllatWnHnzh2GDBlC+/btY7AXIrFPSEgIuXPn5tSpU+zfv588efLYFd9c/8KjQFWPHj1wd3dnyJAh1KtXjwQJEtj3nq4qcK6xLiLPz4IFC+zqjJ07d6Zv375RKk4FBQURGBjI8uXLSZkyJYULF6Z8+fIkTJiQRYsWsXz5cjJlysSGDRtInTr1U58ZhYaG2i+HRURERET+ix6vOOXm5sbMmTNJnTo1W7duJSAgQBXKRUTkX1No6j/qaaUn8+XLF7ONEomlVqxYQf369bl58yYVKlRg+vTpfyk4denSJcqUKcPx48epVKkSy5Yts18YhYSE0KRJE9q2bWtX2BCRF+fo0aMUKVKEZMmSsWXLFlKlSmWvM8bwxhtv4HQ6CQ0N5eDBg5w5c8auaiMi/1zkl7BhYWHcu3ePsLAw/P397XNiaGgoQ4cOpX///iRKlIiuXbtSrVo1UqRIEeXB1vvvv88vv/zClStXWLNmDRUrVqRw4cIsWbKENGnSxFgfRWKjkiVLsm/fPrZt2xYlNAVE+blq1ap8++23uLu7M3DgQJo1a4afn19MNl3klbF06VI+/fRTgoODnxmc+uSTT1ixYgUAlmWRNWtW7t+/zxtvvMHw4cNJnTq1XiKJiIiIyEtt165dFC1aFHj0HCpNmjRs2bJFgSkREXluND3ff9TjpSdHjRrF/v37Y7ZRIrHUe++9x9y5c0mQIAGrV6+mXr16XLly5Znbe3h44HA4SJ06NaNHjyZZsmTs3buX48ePA48qZvj4+DBz5kwFpkT+hqCgoH+8r2VZuLu7kyBBAhImTAg8GovwaErbK1eu8M477/DNN99w4sQJBaZEnoPIganvv/+ewMBAXnvtNV577TWKFCnCoEGD+O233/D29qZ169Z8/vnnXL9+nV69etG9e3d++eUXgoODefjwIS1btmTFihWULFmShw8fUrx4cYoWLcquXbs4f/58DPdUJPYwxuB0OkmWLBlBQUGMHj0ah8OBm5ubPfWIm5ubPbVBvnz5sCyLZMmS0blzZxYsWGAfR0ReDNf4qlq1KrNnz8bX15eBAwfSvXv3KFP1+fn5MX/+fCpVqgRAihQpGDRoEMeOHWP27NkKTImIiIhIrFC4cGF27NiBMUYVpkRE5IVQaOo/7PHg1NixY9m9e3cMt0okdipfvjwLFiz4y8Ep18V4/vz5SZcuHVeuXOHkyZMAeHp6RkubRWKTWbNm0aVLl38cjvDx8SFNmjQcOHCAH374AfjfWOzWrRtnz57F39+fjBkzkiFDhufWbpFXmSswNWPGDKpUqcLSpUsJCAggXbp0XLx4kS5dulCvXj22bt1KvHjxGDp0KO3btydu3LhMmzaNokWLkidPHrJnz864cePImDEjI0aMIE6cOPj6+pIgQQIALl++HJPdFIl13Nzc+PLLL0mcODE//vgjc+fOxel0YlkWTqcTwP43Q4YMZM6cmfr16+NwOGjUqBHbt2/X1PAiz4FrnLm4woqWZdnBqWrVqkUJTvXo0eOJ4NSCBQv44IMPuHLlCiNHjsTHxwcvLy+MMXqJJCIiIiKxQuHChdm7dy/bt28nbdq0CkyJiMhzpdDUf5wrOOXl5cX06dOZMWMGoaGhMd0skVipQoUKfys45XA48Pf3JyAgAHg0LZGI/H0nTpygc+fOjB07lokTJ3LhwoW/fYz06dPz+eefA1CzZk169+7N5MmT+fzzzxkyZAjZsmWjcuXKz7vpIq+877//nvr165M4cWJmzZrFrl272LhxIxs3buTNN99kx44dVKhQgdOnTxMvXjx69erFpEmTaNCgAYkTJ+bs2bPEixePDz/8kE2bNtnT8FmWxbVr10iRIgU5c+aM4V6KxB6usFPWrFmpVasWN2/eZMyYMSxevNieli8sLMwOHs+YMYN48eLRt29fOnXqhNPppGfPnty+fTsmuyHyUnm8MpsrLOWaBnP27Nns3bsXd3d3e93TglNeXl4MGDCAXr16RQlOxYkThzlz5lC3bl2mT59uvzxSuFFEREREYpN8+fKRJk0aBaZEROS5s4zq6r8Utm/fTuXKldm0aZNeHIm8YKtXr+bjjz/m7t27VKhQgenTp5MyZcoo27heKgEULFiQ69evs3nzZtKnTx8DLRZ5uYWGhjJnzhxGjhzJ+fPnad68Oc2bN//LU+hFHo/dunVjwIABUV40pUmThtWrV5MjR44X1geRV9HDhw/5+OOP+eGHH5g1axaffvqpvW779u00btyYw4cP8+WXXzJw4MAn9r9y5QpBQUEkT54cd3d3fH197XUdO3Zk2LBhVKpUyZ5CV0Ser4MHD9KzZ0+WL19OlixZqFGjBl26dMHd3R0PDw/atm3L6NGjqVOnDtOnT+f333+nWLFiOBwOtmzZ8sT1sYg8yXWdGhISwokTJ/D39yd58uT28g0bNvD222/j4eHB7t27yZMnT5SXQJGnwv3666+pXbs2AF26dKFPnz64ubkRHh4epdpxREQEHh4e0d9ZEREREREREZGXkEJTL5GQkBB8fHxiuhkir4TIwany5cszceJEOxAVFhaGl5cXAB06dGD48OF89NFHTJ8+nbhx48Zgq0VePq4XQWFhYXz99dcMHDiQy5cv/+3gVOSXS3PnzuXAgQOcOHGCfPny8dlnn5ExY8YX2Q2RV9L58+fJnTs3xYoVY9WqVfbyHTt20KRJEw4ePEinTp0YMGCAvS7yi9zIgcfIWrduzZgxY0iePDmbN28mc+bML74zIq+offv2MXr0aL799lvu3btHpkyZ8PPzIzQ0lOPHj5MxY0Y2bdpEqlSpuHnzJiVKlODEiROsXbuWt99+O6abL/Kf5jrPXb9+nVGjRrFgwQLCw8PZvn27XVkRoEaNGnzzzTfEixePTZs2kTdv3mcGp7744gu++uorADp37kzfvn2fei4VEREREREREZG/Rk9WXiIKTIlEH9dUfQkTJmTNmjXUrVuXFStWcP/+fTsw9eWXXzJ8+HDSpEnDoEGDFJgS+QdcFaG8vLwIDAzkyy+/JEWKFIwdO5axY8dy/vz5v3Qcd3d3HA4HALVr12bo0KF8++239OrVS4EpkefANV1QZBcuXOD+/fvEjx/fHn9/FJi6cuUK3333HTdu3ACI8pI3KCiImTNnkjdvXsaMGUPGjBlZt26dAlMiL1j+/Pnp06cPU6ZMIU+ePNy6dYtDhw4RGhpK+fLl2bhxI6lSpQLA29sbh8NB9uzZVf1Y5E+4AlPnz5/no48+YtCgQfj6+lK5cmUePnwIPAoSAyxatIjAwEDu379PqVKlOHDgQJRr28crqAIkTpyYgQMHMmzYsBjonYiIiIiIiIhI7KF63SIiz1ChQgWWLVtGtWrV2LhxI8eOHSNt2rRkyJCBEydOsG/fPnvaL4UyRP4dp9OJl5cX9erVw83NjbFjxzJx4kTc3Nxo2rQpAQEBf3oMzWUv8mIYY+yA048//kiiRIkoVqwYyZMnx8/Pj6CgINzd3dm5c+dTA1Ouaqlr166lV69eTJ48mTJlykT5GxEREYSFhXHr1i0++ugjBg8eTIYMGaK9ryKxSeTqNH8kICCAgIAAKlasyOXLl7l48SJZs2YlYcKExIsXz96uW7dunD59msDAQOLEifMimy7yUnMFps6dO0fp0qU5f/48H3/8MRMmTCBevHi4ublhjMHDw8OuKDV37lzg0RR8pUqVsitOuY4VHh6Ol5cXOXLkoHTp0lSpUoWxY8dSvXr1GO6tiIiIiIiIiMjLTdPziYj8iWPHjtG6dWuOHDnCxYsXAUidOjVFihRh6NChCkyJ/AuRX+ju2LGDw4cPs2rVKi5dusTOnTtJkSIFn3/+Oc2aNfvLU/WJyIsxe/Zs6tSpQ65cuVi1ahUeHh689dZbHD16lM6dO7Nq1Sr27dvHl19+ycCBAwEIDQ3F29sbp9NJ8eLFOXXqFFu2bCFbtmxPHD8kJISLFy+SLFkyEiRIEN3dE3kpPR6MCgkJweFwRAk1PWsqzMj+bJv27dszYsQIUqdOzcaNG3X9K/Inrl+/zrvvvsvevXtp164dQ4cOBZ4+1iJPXVu7dm2+/vpr4sWLx/r16ylQoECUcV62bFmuXr3K4cOH7WnjI+8vIiIiIiIiIiJ/j56qiIj8iWzZsrFgwQJ+//139u3bh2VZFCpUiMSJE0f5+l5E/j7XC6Bly5ZRv3597ty5Q/78+fHy8iJ58uRcvXqVyZMnY4yhefPmCk6JxJCDBw/SrVs3/P396dSpkz1dV4cOHahXrx6DBg3CGEOPHj3o1asX8GjKPT8/P5xOJ02aNOGXX36hefPmpEuX7ql/w8fHR9PxifwNkcMXP/30Ez/++CMbNmzAsiyKFi1KuXLlqFSpEl5eXnY1m2d5WmDq/v37LFq0iK+//pr169cTEBDAjz/+qMCUyB9wBZymTJnC3r17ef/99+3A1LPGYeTA09y5c3E4HCxcuJDSpUszdepU8uXLR/r06WnXrh0///wzDRs2jBKUUmBKREREREREROSf05MVEZG/IGHChCRMmJBMmTLFdFNEYp1NmzZRvXp1vL29mTx5Mg0aNCAsLIw7d+7Qp08fFi1axPjx4wEUnBKJJo9Xr7l79y4XL15k6tSpBAYG2tvUqFGDXbt2MWHCBOLGjUvhwoXtffz8/ABo164dU6dOpVChQnTv3h0fH5+/PG2YiDxd5GkzZ86cScOGDXE4HCRLlozg4GAOHjzI7Nmz+fTTTxkxYgS+vr5/e9x5eHiwf/9+1q9fT6VKlRg1apSuhUX+hGuMbdiwAXd3d9q0aQP8LzDlGochISGEhISwZMkS7t27R8aMGUmdOjWFChVi/vz5eHt7M3v2bD777DPixIlD/PjxOX/+PJkyZaJnz54KSomIiIiIiIiIPCeank9ERERihNPpxLIsWrZsyfjx4+nfvz+dO3cG/jdNSVBQELNmzWLw4MHcuXOHJk2a0KxZMwICAmK49SKvhqlTp7JhwwZ8fX3ZsmULR48eBaJWuDl06BCjRo1ixowZADRp0oTs2bMTERHBsmXL2Lp1KxkzZmT9+vWkTZv2L00VJiJ/zbJly6hWrRoJEiRg0KBBfPjhh1y7do3jx4/TunVrLl++TMmSJVm3bt0/ClmEh4eza9cusmfPTuLEiV9AD0Rin3v37pE/f35u3brFli1byJkzJw6HA8uycHNz4+zZs0yfPp1Vq1axe/du4FFIMXPmzLRv35569eoBMHDgQNatW8fPP/9MxowZyZQpE9OnTyd16tR/Wj1ORERERERERET+Gn2aJiIiIjHCFZo4cuQIAOXKlQP+F5hyOp34+flRt25drl27Rr9+/Zg5cyaWZdG0aVMFp0ResPPnzzNw4EDOnz/Pa6+9hjGGhw8f4uvrGyX0lDt3bnr16kWWLFno2rUrEydOtNclSZKEDz74gLFjx5IqVSq95BV5jq5evcqgQYMAGD9+PJ988gkA/v7+3L9/nzhx4gBQvHjxf1yVxtPTk+LFiz+fBou8Itzc3HBzc+Pu3btMnTqVkSNH2lWmduzYQcOGDfntt99wOBzEjRuXgIAArly5wm+//Ubr1q3x8fEhMDCQzp0788UXX3D69Gn8/f3x9fUlbty4OpeKiIiIiIiIiDxHqjQlIiIiMapcuXKsW7eO2bNnU7t27SgvglxTmDx48IB33nmHrVu3kixZMho0aECjRo1Ily5dDLdeJPYKDQ1l5cqVDBgwgN27d2NZFtu3b6dIkSLPnOZr3759nDx5knPnzhE3blxKlSpFQECAXvKKvAD79++nUKFCfPbZZ0yfPt1evmPHDpo0acLBgwfp1KkTAwYMeGJfTZEp8mJNmjSJtm3bEh4ezmeffUbBggU5dOgQM2fOJCQkhJw5c1KmTBmaNGlCunTp2LBhAzNmzOCbb77hnXfeYcaMGfj7+z9xXI1dEREREREREZHnS5WmREREJEa4pujKkycP69atY8uWLdSuXRt3d3d7nWVZ9lf4gYGB7Nq1i0SJEjFw4EA8PT3p1q3bP66eISJ/zNvbm3feeQc3NzcGDx7M9u3b6dSpE9OmTSNDhgxPfXGbP39+8ufP/8SxjDEKTIk8Z0ePHsXpdJI6dWp72R8Fpq5cucLJkycpUaKEpsgUecE++ugjdu3axYIFC5g+fXqUYGOVKlXo2LEjuXPnJl68eAC88847OJ1O1qxZw7Zt27h///5TQ1MKTImIiIiIiIiIPF96UioiIiLR4vHilq4Xth988AEAkydPZsyYMfY6h8MRZfu4cePi4eFB7dq1yZ8/PzVr1lRgSuQF8/b2pkKFCnz55ZcULFiQDRs20L9/f86fP49lWU+M62fRS16R5y9RokTAoxAywJYtW54amAoNDQVg/vz59OrVi2PHjsVMg0VeIUmSJGHAgAEMGDCALFmykC5dOgIDAxkxYgTffvstxYsXtwNTrnNpwYIFSZgwIXfv3uXmzZsx2XwRERERERERkVeGpucTERGRFyZyJZrQ0FC8vb3tf13VpAAGDhxI165dSZo0KQMHDqR+/fpPHKtGjRocOnSIPXv2EBERQfz48aO1LyKvstDQUNasWUP37t05fPgwderUoUePHgQEBGiqIJEXKPK50vWza8wdOnSI119/nYQJEzJy5EiGDBnCvn37nghMeXt7ExYWRv78+QkLC2PLli0kT548Jrsl8kq5c+cOYWFhJEuWzD5fRp6y1vXzb7/9xhtvvEGWLFlYu3YtceLEiclmi4iIiIiIiIi8ElSeQURERF6IyEGK9evXM2/ePK5evYqXlxetW7cmb968JEyYEICaNWty7tw5Jk+eTMOGDbl48SINGzYkQYIE+Pr60qNHD7755huqVq2Kp6cnfn5+MdgzkVePq+IUQPfu3Zk5cyaAglMiL5grMLV06VIiIiKoUqUKPj4+AOTOnZsaNWowe/ZsGjduzL179+jVqxc9evQAIDg4GF9fXwAaNmzI0aNH6dq1K4kTJ46Zzoi8olzXuy6Rp6x1BaacTiedO3fm1q1bvPnmm3h7e8dAS0VEREREREREXj2qNCUiIiIv1LJly6hWrVqUZXHixKFJkybUqVOHnDlzAnD06FFmzJjBsGHDAMiSJQtx4sTB6XRy8OBBkidPzqZNm8iSJUu090HkZfZ4oMk1lZcrjOFaFvn3ZwkLC2P16tVPrTglIi/G1q1bKVmyJOnSpWPkyJFUrFjRDk6dPn2azz77jG3btpExY0Z27txJkiRJouzfoUMHhg8fzhtvvMHSpUtJmjRpTHRDRB4TuXpcu3btGDVqFIUKFeKHH34gWbJkMd08EREREREREZFXgkJTIiIi8sLs27ePChUqcPfuXbp06ULRokVZvXo1Cxcu5MaNG3zyySe0adOGfPnyAfDw4UN++OEH+vXrx82bN7l69SopU6YkW7ZsTJgwgWzZssVsh0ReUg8ePODUqVPkzZsX+F9liylTppAuXTrKly//l48VOTh17Ngx3nvvPUaOHEnq1KlfVPNFXimPBx2PHz/OwIEDWbhwITlz5qRz58688847+Pr6EhYWxk8//USfPn3YtWsXAQEB9OzZE39/f8LDwxk/fjxr164lQ4YMbNy4kTRp0vzlkKSIvBiuMe5wOLhz5w6NGzdm6dKlpE+fnk2bNpEmTZoo0/eJiIiIiIiIiMiLo9CUiIiIPDePv+hdsmQJ1atXZ9KkSTRs2NBevnjxYkaPHs2OHTsIDAykbdu2dnAK4OrVqwQHB3P06FGyZs1KkiRJSJQoUXR2RSTWiIiIYMKECYwePZqGDRvy5ZdfAjBlyhQaN25MqlSp2L9//9+qPhMWFsaaNWto1qwZlmWxb98+Tfkl8hxEPo9+++23TJ06lTNnznDp0iXu3bsHQKFChejUqZMdnAoJCWHv3r0MGjSI77//PsrxvLy8KFWqFDNmzCB16tQKYoj8R+zcuZMpU6awefNmTpw4wZtvvsmcOXM0TkVEREREREREoplCUyIiIvLc/fjjj9y8eZMNGzawb98+9u3bB0BoaCje3t4ArFy5kgEDBrB9+3YCAwNp166dXQVHVTBEnq9Fixbx8ccfAzBt2jS8vLz49NNPSZcuHUOHDuWjjz7628cMDQ1l06ZN5M6dmxQpUmjcijxHs2fPpk6dOsSLF48mTZqQLl06goKCGD16NJcuXSJXrlz06tXLDk65zJo1i9OnT3Px4kWSJ09OmTJlKFiwIAkTJlQQQ+Q/4uHDh3Tr1o3Ro0eTNWtWqlWrRtu2bUmSJInGqYiIiIiIiIhINFNoSkRERJ6rgwcPki9fPgICAsiWLRteXl6sWLGCiIgIPDw8olTReDw41b59e/LkyRPDPRCJnSZNmkTTpk3t39OkScOECROoVKkS8GSluL9DL3lFnp/t27dTvnx5wsLCmD9/PlWrVrXXnTp1iu7du7No0SJy5MhB7969nwhOwZPjWaFGkf+Wq1evsmHDBgoUKED69Onx8vLSOBURERERERERiQF6GiMiIiLPVapUqWjevDlBQUH89NNP7Ny5k0uXLuHh4QGAZVm4MtvvvPMOXbp0oVixYnz99deMHDmSvXv3xmTzRWKtxo0b8/HHH9tBinLlytmBqfDw8H8cmAIUmBJ5jo4cOcLDhw9p1aqVHZhyOp04HA4yZcrEkCFD+Pzzz/n111/p378/K1euJDg4GMA+vz4+nhXEEPlvSZEiBR9//DFZs2bFy8sLY4zGqYiIiIiIiIhIDNATGREREXlujDEkTZqUXr16Ubt2bVKlSsWdO3eYO3cu9+7ds7d7WnCqZMmSzJo1i8mTJxMaGhpTXRCJtbZt28a3335rV6SZMWMGo0aNAsDT0xOn0xmDrRMR13lx+/btAPZYdTgcuLm54e7ujjGGNGnS0L17d/Lmzcu+ffsYNGgQK1euJCQk5F+FH0Uk5mjsioiIiIiIiIjEDIWmRERE5LmxLAun00mSJEno0qULNWvWxNvbm/Hjx7N8+XIePnwYZdvIwakvvviCChUq0KpVK7y9vWOqCyKxVoYMGWjfvj1Lly5l9uzZALRt25aRI0cCjyrRKDglEnNcoYkCBQoAcP/+fQA7LOXaxul0kj59eoYOHQrA7t276d69O+vWrSMiIiIGWi4iIiIiIiIiIiLycrKM6+mriIiIyF9kjHnmF/HGGHuKkd9//50BAwYwYcIEUqZMSZ8+ffjggw+IEyfOU4/18OHDKOtE5N+JfKlvWRYhISH4+PgAMGHCBJo3bw7A8OHDadOmDfBoGjBjTJQp95xOp6YNEnmO/ug8+uOPP1K5cmXc3d1ZtWoVZcqUeer+v/76K8WKFaN48eJs27aNHDlyMGvWLHLkyIHD4dC0mSIiIiIiIiIiIiJ/Qm8+RERE5G+J/KL34MGDzJ07l8aNGzNkyBA2btyIZVl2uMJVcapp06ZcuXKFHj168O233z6z4pQCUyL/XuRqUeHh4VGm7PLx8bFDUU2bNmXChAkAtGvXLkrFKVdlm27durF27VoFpkT+pbNnz/Lzzz/b57/I577HvfvuuzRu3BiHw8HAgQPZs2ePvc4YQ0REBJZlkSRJEry9vXnvvfeoUqUKu3fvpmfPngAKTImIiIiIiIiIiIj8Bao0JSIiIn9Z5MDUihUraN68ORcvXoyyTa9evahduzYZM2a0l/2VilMi8u9FHqPfffcdM2bM4LfffiNr1qyUL1+eGjVq4O/vH6UKzaRJk2jatCkAQ4cOpV27dgD06NGDfv36kTJlSk6fPo2Xl9czK+OIyLOdO3eOvHnzcu/ePapWrUrp0qVp2bKlPV4jV3JzLdu2bRtffvklW7dupVKlSnTu3JnixYtHOW79+vWZPXs2586dIywsjBIlSnDlyhWWLFnChx9+GBNdFREREREREREREXmpKDQlIiIif9vy5cv54IMPAGjbti0fffQRx44do02bNty5c4fGjRvTokULcubMae8TOTgVEBBAx44d+fjjj/Hz84uhXojEXrNmzaJu3bpRlnl4eFC2bFkmTpxIQEBAlODU5MmTadKkCQB16tTh6tWrrFq1ivTp07Nu3ToyZMgQ7X0QiQ2MMXz66ad8/fXXdujQGEO5cuWoWLEigYGBJE+e3N7eNS6NMSxdupQhQ4awa9cuUqZMSc+ePcmVKxdJkiRhyJAhzJgxg9KlS7NkyRISJ05Mp06dGDJkCOPGjbODkCIiIiIiIiIiIiLybApNiYiIyN/yyy+/8MEHH/DgwQOGDx9Ow4YNAZg9ezZNmjQhJCQEeBS8aNeu3RPBqcGDBzNs2DDy5s3Lxo0biR8/foz0QyS22rVrFxUrVsQYw4ABAyhcuDDbt29n5syZ7N27l4IFC7J48WLSp08fJTi1cOFCPv/8c8LCwgAoXLgw33zzDWnTpiUiIgIPD4+Y7JbIS2vv3r2UK1eOBw8eULduXb7//nsuX74MQIYMGfjyyy8pWLAgBQsWjLKf0+lk7dq1TJs2jcWLF9vLvby8CAsLI1OmTPz888+kTZsWgA4dOjB8+HA6d+5M//79o6+DIiIiIiIiIiIiIi8pvfkQERGRvywoKIgZM2Zw9epVhg0bZgemRowYQZcuXXA4HAwaNIgFCxYwc+ZMPD09admyJbly5QIgSZIkdOjQAS8vL2rVqqXAlMhzEHlKPoAzZ85w+/Zt5syZQ61atQDIly8fZcuWpVmzZmzYsIHq1atHCU65ublRs2ZNMmfOzJEjR/D09KRcuXIkSZIEh8OhwJTIP2SMIXPmzFSsWJH58+eTP39+hgwZwuzZs5k/fz7bt2+nZcuWxI8fn1atWvH+++/z2muv4eHhgZubG+XLl6dkyZKUKVOGNWvWcPDgQTJmzEjWrFnp0qULKVKksP/W/v378fHx4Y033ojBHouIiIiIiIiIiIi8PFRpSkRERP6y8+fPkyFDBmrWrMnXX38NwLRp02jTpg3BwcFs2LCBEiVKMG3aNDtQ1bBhwyjBKXhUPcPNzS1G+iASW02dOpULFy4QHh7Onj17WL16NUCUalKXL1/m008/Zf369VEqToWHh+Ph4RElfAUaqyLPy5IlS6hevTo+Pj7s3LmT3LlzY4xhxIgRbN68meXLlwOQNWtWChUqRJ8+fUicODEJEya0j+F0OgkJCcHPz4/w8HA8PT3tdd26dWPAgAGUKFGCJUuW4O/vH91dFBEREREREREREXnpKDQlIiIif8u0adNInz49ZcqU4cCBA9StW5eDBw/y3XffUalSJXu7hg0bMm3aNADq1q1L69atyZMnT0w1WyRWO378ONmzZydOnDikTp2aBAkSsH79enx8fJ4IPT0rOKUp+ERerNq1azN//nyGDh1K27Zt7eV3797lp59+Ys6cOaxdu5bg4GDSpk1LqVKlqFOnDmXKlLG3jRyWCg0Nxdvb2z7fJkuWjM2bN5M1a9Zo75uIiIiIiIiIiIjIy0ifjYuIiMhf4nQ6Aahfvz5vvfUWADt37mT//v107dqVSpUq4XQ6iYiIACB79uwAFClShBkzZjBp0iTCwsJipvEisVyaNGkYP348np6eHD9+nJCQEADc3NxwOBxRtk2VKhVz5szhrbfeYs+ePXzyySecOnVKgSmRF6xUqVIYYxg/fjw3btwAICIiggQJEvDRRx+RJUsWgoOD8fT05MGDB8ybN49y5crRsmVLRo0aBWAHphwOByNGjCBFihRMmzaNHDlysGHDBgWmRERERERERERERP4GhaZERETkL4lcrcYYQ2hoKD/88AMAmTNntrdxhasCAgJInDgx1apVo3Tp0jRr1gwvL6/ob7jIK8DPz4/PPvuMYcOGkSBBAg4dOkT79u0BcHd3t8eliys4Va5cOXbu3EnLli2fCFeJyPNVr149Xn/9dU6fPs2oUaMICQmxw4pDhgxhxIgReHp6MmPGDBYvXkyjRo0AGDduHAMGDOD27dv2sdzd3alRowYBAQE0btyYlStXkiNHjhjpl4iIiIiIiIiIiMjLSp+Ti4iIyN/m7u6Ou7s7GTNmBODevXvAo8oXrmDU3LlziR8/Ph06dKBVq1Z4e3vHWHtFYgtjDJZl2f/Coypwbm5u+Pn5UaNGDSzLok2bNkycOJEUKVLQo0cPu+KUu7u7faxUqVIxdepU2rdvz8CBA6OsE5Hny+Fw4OHhQdOmTTl48CCbN2/GGAPAoEGD6NKlCx4eHsyfP5+qVasC8Pbbb1O5cmV27dpFgwYNSJQokT32HQ4HmTJlYv369ViWhZ+fX0x2T0REREREREREROSlZBnXk1oRERGRv8j10nbmzJnUr1+fNGnSMGfOHHLlykXixInp0qULgwYNolq1asyePRsfHx874CEi/0zkoNSDBw8ICgrC4XDg5uZG8uTJ7e3u37/PokWLaNOmDaGhoXTr1o3u3bsD/wtYReZaFhERoSn6RF6w48ePU6FCBc6dO8fUqVN58OABX3zxBZ6enixcuJAPPvgAgPDw8ChT8bm7uz8RfBQRERERERERERGRf0ehKREREfnHwsPDqV+/PnPnziVJkiSkSJECLy8v9u3bR4oUKdi4cSNZsmSJ6WaKvPQiB6ZWrFjB+PHj+eWXXwgNDcXPz49WrVrx7rvvUqBAAeBRcGrhwoW0bdv2LwWnRCT6TJ8+nQYNGhA/fnzu3buHh4cHixYtsgNTkce7iIiIiIiIiIiIiLw4Ck2JiIjIE/5KqMJV8SIsLIw2bdrw888/c+zYMZIkSUJAQADz5s0je/bs0dRikVfDjBkzqF+/PgCFCxfG19eX3bt3ExQUxJtvvknDhg355JNPAAgKCuLrr79WcErkP+bIkSN8/PHHHD58GF9fX7777jvKli0LKDAlIiIiIiIiIiIiEp0UmhIREXmFRX45e/r0aQ4fPkzJkiVJlCjRX9o/8pRBFy9e5PDhw6RLl47kyZOTLFmyF9l0kVfOypUrqVSpEgkTJmTs2LEEBgYCcPjwYbp27cqKFStIly4dS5cuJX/+/EDU4JTT6aRFixYMGjQoJrshIkDbtm0ZNWoUWbJkYe/evcSJE0dhRhEREREREREREZFopieyIiIir6jIgam1a9fy8ccfU7VqVTp27EhISMhfOoa7uztOpxN3d3fSpUtHpUqVyJUrlwJTIs+RMYb79+8zY8YMAIYOHUpgYCCubx+CgoI4efIkAIGBgXZgCsDPz4/AwEBGjx5NUFAQixYt4t69e9HfCREBsMdt27ZtyZ07N5cvX2b58uVR1omIiIiIiIiIiIhI9FBoSkRE5BXlCkwtXbqUKlWqsHv3bpo2bUqTJk3w8PD4y8dRVQyRF8uyLB4+fMj27dspWrSoPT2fZVls376dxo0bc/ToUTp37kz//v3t/ZxOJ/AoOFWjRg3mzZvHxo0biR8/vsIZIjHEde5NnDgxBQsW5OHDh8yePRt4FEQWERERERERERERkeijt5wiIiKvsFWrVvHRRx/h5eXFhAkTGDNmDAULFsTDwyNKqEIBC5GYdfHiRa5du0bChAntZTt27KBp06YcOHCATp06RQlMnTt3juXLlxMeHg5AnDhx+OSTT0ibNi0Oh8MObohIzPDz86Njx44kS5aM1atX8/XXX8d0k0REREREREREREReOQpNiYiIvKLOnz9Ply5dABg2bBiNGzcGsEMWlmXhdDoJDg5WwEIkhiVOnJiECRNy4cIFAPbv30+TJk04ePAgnTp1YsCAAQD21Jo7duygatWqrF279oljqZqNyH9D9uzZefPNN0mTJg1lypSJ6eaIiIiIiIiIiIiIvHIso9IRIiIir6T9+/fzxhtvULZsWb799lt7eUREBDdu3KBHjx6cPn2aq1ev0qZNG8qWLUv69OljrL0ir7Lw8HDKlCnDli1baNy4Mdu2bePQoUN8+eWXDBw4EIDQ0FC8vb0BKFWqFEePHmX9+vXkypUrJpsuIn/gzJkz+Pr6kiJFChwOh0KNIiIiIiIiIiIiItHII6YbICIiIjHj4sWLBAUFESdOHIwxWJbF2bNnWbJkCRMnTuTUqVPEjRuXBw8e0L59e1q0aEGXLl3w9fVV5SmR58w1Bp8mPDwcT09POnbsyNGjR5k8eTLGGNq3b28HpkJCQvDx8cHpdNKsWTO2bNlCkyZNyJQpU3R2Q0T+pgwZMgDgdDoVmBIRERERERERERGJZpqeT0RE5BWVJUsWsmTJwvLlyxkxYgRjx46lUqVKdOjQAW9vbzp06MCuXbvo1asXERERTJkyhatXryowJfKcRQ5M7d27l2+//Zbly5ezZ88eADw9PQEoUKAANWrUIF68eCRIkIC8efPa02n6+PhgjKFNmzZMnjyZggUL0qtXL3x9fVFhWZH/Pjc33ZqLiIiIiIiIiIiIRDdNzyciIvIKGzZsGEOHDuXGjRv2sjp16tCuXTsyZsyIr68vISEhlC9fni1btrBixQoqVaoUgy0Wib3mzJlDkyZNCA4OBsDLy4suXbrQtm1b4saNC8CRI0cYMmQIixcvxsPDgyJFivDhhx9y9epV1q1bx/bt28mQIQMbNmwgbdq0mu5LRERERERERERERETkGRSaEhERiaUiV695+PAhDx484MGDByRMmJAkSZLY261evZp9+/bh5uZG9uzZqVKlyhPHKlCgAPfv32fr1q34+/tHWx9EXhXff/+9Pfbef/99HA4H33//PQB169ale/fupE+fHoDTp0+zdOlSJk2axKlTp+xjJE+enFKlSjFy5EhSpUqlwJSIiIiIiIiIiIiIiMgfUGhKREQkFoocmFq7di2jRo1ix44d3Llzh6RJkxIYGEjlypV5++23n7p/SEgIPj4+AHTs2JFhw4YRGBjI5MmT8fPzi7Z+iLwqPv30U3744QemTJlCtWrVgEdBqtatW3PmzBlq1apFnz59yJAhAwBOp5M7d+7w/fff25WpSpYsSfr06fHz81NgSkRERERERERERERE5E8oNCUiIhKLLV26lOrVq2OMoUSJEri7u3PhwgXOnDlDhgwZ6NOnD7Vq1bK3jxy2AujUqRNDhgwhU6ZMrFmzxg5siMjz8+DBA7Jnz06NGjUYMWIE8CgU5ebmxsaNG2nVqhWHDh2idu3a9O7d+0/H4ePjWERERERERERERERERJ7kFtMNEBERkRdj8+bNfPrpp/j6+jJhwgQ2b97MmjVr2LZtG5999hlnzpzh008/ZefOnfY+lmVx5coVVq9eTbly5RgyZAjp06fnu+++U2BK5DlwOp32z+Hh4TidTry9vSlUqBCvvfaavdwVeipdujRfffUVuXPnZu7cufTs2ZOzZ88+9XguCkyJiIiIiIiIiIiIiIj8OY+YboCIiIg8X8YYnE4nc+bMITg4mJEjR9K4cWMAvLy8uHLlCsePHwegadOmvP7661H2X7ZsGV26dCE8PJwqVaowYsQIMmbMGO39EIltjDG4uT36ZmH58uV89913XLhwgcSJE7Nt2zY7NOXp6Wlvb1mWHZxq1aoVc+fOBaBv376kS5fOPp6IiIiIiIiIiIiIiIj8PZqeT0RE5CV04MABAgICSJQo0VPX3717l/z58xM3blz27t2Lh4eHvV/Tpk3ZsWMHTZs2Zdy4cfY+YWFheHl5ATBu3DhSp05NqVKlSJw48YvvkMgrZPbs2dSpU+eJ5Xny5GHatGkULFjQXhZ5qr3IU/W99957jBs3jjRp0kRXs0VERERERERERERERGIVfZouIiLykpk7dy758+fnq6++4s6dO0/d5saNG9y8eRM/Pz+Cg4MBOHjw4DMDU7///juLFy/mt99+A6B58+Z88MEHCkyJPGd79uyhffv2JEyYkBEjRrB27VpatmxJokSJOHz4MFOnTuXUqVP29pZl4frGoXTp0owZM4ZUqVKxefNmfH19Y6obIiIiIiIiIiIiIiIiLz2FpkRERF4yd+7cwdfXl/79+7N+/fqnbpMsWTJSpEjB/fv3iRcvHsePH6dJkyZPBKZCQkIA2Lt3L+3bt2f37t3R1g+RV8HjRV1v3rzJzZs3GTNmDF988QVvv/02o0ePZtiwYWTLlo0pU6YwduxYTp8+be8TOThVqlQpvvnmG44cOUKSJElwOp3R2h8REREREREREREREZHYwiOmGyAiIiJ/T4sWLfDx8WHbtm288847AISHh+Pp6Qk8Cml4e3uTJUsWVq5cSZ06dTh58iQ7duygcePGdmAqNDQUHx8fAEaNGsXt27fJlClTzHRKJJZyTa03c+ZMDh8+zN27d8mVKxe1atUCHo1Db29v6tati5+fH3369GHMmDEYY2jVqhUZM2a0j+Oaqq9o0aIAOBwO3N3dY6ZjIiIiIiIiIiIiIiIiLznLPP75u4iIiPxnOZ1O3Nzcovw8f/58jh8/TqtWrUiUKJG97datWylbtiyhoaEANGvWjLFjxwIQHBxsT+3VsWNHhg0bxieffMKECROIHz9+NPdKJHY7fvw4JUuWJCgoiFy5cmFZFtu2bbPHcORxvXDhQvr06cOxY8do0aJFlOCUiIiIiIiIiIiIiIiIPD+ank9EROQl4gpYwKPKMydPnqRBgwb07t2bSZMmcefOHXvbYsWK0bt3b7y9vQGiVJFyBaa6dOnCsGHDyJo1K/3791dgSuQFCAgIoE+fPqRPn56dO3eyc+dO9u7dawelIo/rmjVr0qNHD7Jly8bYsWMZN24cJ06ciMnmi4iIiIiIiIiIiIiIxEqqNCUiIvIScU3PFdno0aMZOHAg169fp1+/fjRr1oyECRMCcO7cOaZNm8aQIUMICwujUqVKvP7660RERLBx40Y2btxIypQpWbt2LTly5IiBHonEbq4xGxISwpw5c5g4cSL79u3js88+o0+fPgQEBNjbPl5xasCAARw6dIgePXrQvXt3TcUnIiIiIiIiIiIiIiLyHCk0JSIi8hL6+uuv2bJlC+PHjwdgypQpdOrUidu3b9OvXz+aNm1qT9V38+ZN1q5dS5s2bbh27Zp9jKRJk1K8eHGGDx8epQqViPw7j4cbXWGokJAQ5s6dy7Bhw7hw4QKtW7emefPmpE6d+oltAWbNmsWsWbOYOXNmlHCViIiIiIiIiIiIiIiI/HsKTYmIiLxk1qxZQ8WKFQH44YcfeOeddwCYPHkynTt3toNTTZo0IXHixPZ+ly5d4ujRo5w7dw4PDw/eeOMNkiVLpin5RJ6DyGGne/fu4XQ6uXv3LmnTprWXA4SEhDBv3jwGDRrEtWvXaNGixR8Gp4KDg/H19cXhcKjSlIiIiIiIiIiIiIiIyHPkEdMNEBERkT/mqlrjcDgICgpi2LBhJEyYkOHDh9uBKYBGjRoB0LlzZ7p16wZgV5wyxpA6deoowQwReT6MMXbIadmyZUybNo3jx49z9+5dSpQoQf78+enWrRuWZeHj40OtWrUAGDRoEGPHjsWyLJo1a2aPTzc3N3vc+/r6AigwJSIiIiIiIiIiIiIi8pyp0pSIiMhL4vLly6RKlQp/f39q167NiBEjgEdVaQA7tPF4xalmzZqRMGFCe9vIVW9E5PmZPXs2derUASBVqlRcu3YNy7KIiIjg7bffZuTIkeTIkQMPD48nKk61bNmS5s2bkypVqpjthIiIiIiIiIiIiIiIyCtCb01FREReAvPnzydNmjS0aNGCRIkSUbVqVQAiIiJwc3PDzc3NDk81atSIgQMHkihRIrp168b48eO5c+cOgAJTIi/Inj17aNOmDcmSJWPq1KkcOHCAjRs3MnnyZJInT87PP/9MgwYN2LdvH4BdcapTp04kT56ciRMnMnjwYK5evRrDPREREREREREREREREXk16M2piIjIS+Ds2bMAzJo1ixMnTnDq1CkgagjqWcGp3r17M2zYMO7evRvt7RaJrSIXa3U6nVy4cIHbt28zfPhw6tWrR5IkSShevDh16tRh69at5M+fn127dtG+fXsePnwI/C841aVLF5xOJ6tXr7an4xMREREREREREREREZEXS9PziYiIxCBjDJZlRVnmdDqxLAvLsvj9999JkiQJAMOHD6dDhw4ANGvWjLFjx9rbRw5PRf592rRpNGzYkIQJE3L8+HGSJk0aHd0SeWXMnDmTEydOcOfOHZYuXcqVK1cAcDgcuLu72/+eO3eON954g0uXLlGnTh2mT59uHyMkJIRvv/2WUqVKkSpVqqf+f0FERERERERERERERESeL4WmREREYlhoaCgrV64kffr05MyZE09PT+DRlHzz5s2jZ8+eFC5cGIARI0bQvn17AMaMGUPz5s2BPw5OzZo1i6JFi5ItW7bo7JZIrHfs2DGKFi3K/fv3KVy4MLdv3+bIkSO4ublFCT65glNbtmzhvffeI1myZKxcuZJMmTLZ61we/11EREREREREREREREReDE3PJyIiEsO2bt1Kp06dCAwMZOfOnQAsWbKEWrVqsX79ekJCQuxt27Zty4gRIwBo2bIlU6ZMAaJOzff4759//rkCUyIvQLZs2ejXrx9Zs2Zl586dHD9+nBUrVgBEqRTl7u6OMYasWbOSMWNGTp48yfHjx+11kSkwJSIiIiIiIiIiIiIiEj0UmhIREYlhefLkIUuWLPz222906NCBvn37Ur16dZIlS8akSZMoWbJklO2/+OILhg0bBkDjxo3/MDglIi+Ga6w1b96cFi1akDt3buBRZbcjR448sb0xBn9/f7Jnzw7A3bt3o6+xIiIiIiIiIiIiIiIi8gS9TRUREYlBxhiSJk3KxIkT+fTTT9m5cyc9e/Ykfvz4DB8+nNq1awNECUPBo4pTQ4cOBf44OCUiz0/kWa3d3NyIiIgAoFmzZjRt2pRMmTLxww8/MHv2bE6fPm1vGxYWZo/NU6dO4efnR0BAQLS3X0RERERERERERERERP5HoSkREZEYZFkWTqeT1KlTU7hwYeBRGCNRokTkypXL3u5pVaPatWsXpeLU1KlTn7mtiPwzkYNSxhju3bvH1atXgahT6TVp0oT27duTKlUqRo8eTd++fdm0aRMAXl5eALRv355ffvmFAgUKkDNnzmjshYiIiIiIiIiIiIiIiDzOMpHfBImIiEiMuH//Po0aNeKbb74hf/787N69m3z58jFq1CjeeOONPwxCjRgxgvbt2wMwffp06tSpE02tFondjDFYlgXAqlWrWLp0KT///DOhoaHkyZOH119/nZYtW5IoUSJ7n0mTJjFkyBDOnTtHnDhxqFKlCnHjxmXv3r3s2rWLLFmysG7dOtKkSYPT6VTIUUREREREREREREREJIYoNCUiIvIfce7cOe7du0emTJmoW7cuixcvJl++fIwZM4ZixYpFCVc8Hrbo27cv/fr1Y+/evapgI/IcRA5MzZgxgwYNGmCMIXHixAQHBxMcHAxAnjx5WLx4MVmyZLH3nThxImPHjuXIkSNYlkWePHlIliwZBQsWpGXLlqRKlQqHwxGlUpWIiIiIiIiIiIiIiIhEL4WmREREolnkMMbjXGGoixcv0qZNG5YsWfJEcCpy2OLSpUukTp0agN9//50kSZJEWz9EXgXfffcdH374IUmSJGHQoEGUL1+eq1evsn37dmbMmMGBAwfIkCED3377Lblz57b3Gz9+POPHj+fUqVN06dKFBg0akDJlSgAiIiLw8PCIqS6JiIiIiIiIiIiIiIgICk2JiIhEq8iBqfPnz/P777/j7u5OokSJSJs2LYAdirpy5QqtWrWyg1NfffUVRYoUwcvLC4A+ffqwb98+OnfuTJEiRWKsTyIvu2cFGe/cuUPVqlXZsGED8+fPp2bNmlHWnz9/nsDAQLZt20aWLFnYsmULyZIls9dPnDiRAQMGcPPmTTp27EiDBg1IkybNC++PiIiIiIiIiIiIiIiI/Dm3P99EREREnhdXMGPFihW8/fbbvP766xQpUoQ33niDhQsXAuDu7o4xhpQpU/LVV19RrVo19u/fT8uWLVmzZg2///47ffv2pVevXqxcudKuXiMif89PP/3EuXPnsCyLp31HcPv2bXbs2EGBAgXswJTD4QAeBa0CAgJYsWIFBQsW5MSJE7Rp04bQ0FCcTicATZo0oVu3bvj7+zNkyBCmTp3K5cuXo6+DIiIiIiIiIiIiIiIi8kyaF0RERCSa/fjjj7z//vsA5M2bF4fDweHDh/nkk084fvw4zZo1I0mSJHZwasyYMXh6erJgwQLq1q1LvHjxOHv2LMmTJ+enn36yK1SJyF83e/Zs6tSpQ506dejduzdp06Z9ouLUnTt3CAkJwdvb217mmhrTsiycTieJEiVi0KBBfPLJJ+zfv5+7d+/i7+9vV4xr1KgRAAMGDGDIkCG4u7tTp04djVsREREREREREREREZEYpkpTIiIiL1jkCjb37t1j0KBBJEiQgGnTprFv3z527drFsGHD8PPzo2fPnowcOZLff//drn6TIkUKRo0aRdeuXUmePDn379+nXLlybNy4kVy5csVgz0ReTk6nE19fX7Jnz878+fPp27cvFy5ceKLiVLx48XBzc2Pnzp2sX7/+ieO4uT26lM6dOzdJkyblyJEjHDhwAHgUrnJVnGrUqBFdunQhVapU9OzZk3nz5tkVq0RERERERERERERERCRmKDQlIiLygrkq19y7d4/Q0FC2b99O27ZtqVu3LgDe3t60bduWCRMmkCJFCgYMGBAlOAXg7+9Pjx492LRpEzt37mTx4sVkzZo1xvok8jJzc3OjSpUqDB48mKxZszJjxownglPGGDJkyED16tUxxvDTTz/x4MGDJ44VHh6Ov78/OXPmBIgShnJzc4sSnGrZsiW5cuXi/ffftytWiYiIiIiIiIiIiIiISMxQaEpERCQazJ49m+zZs7Nu3Tpy5cpFtWrVAIiIiLBDFZ9++ilDhgwhefLkUYJTLp6eniROnJiMGTMSP378GOmHSGzh7e1N+fLl6dOnD6+99toTwSl4VC3q3XffxRjDoEGDWLBgQZRQVEhICJ6engCcOnWKlClTki1btih/J3JwqnXr1mzatIkcOXJEUy9FRERERERERERERETkWTxiugEiIiKxnTGGZcuWcfXqVZo3b87t27c5d+4cr732Gh4ej07FTqcTNzc3ateuDUCHDh0YMGAAAG3atCFJkiQx1n6R2Mrb25uKFStiWRY9evRg+vTpGGPo3r07AQEBwKMw48mTJ+nbty+NGjXi+vXrVKtWjWzZsuHj4wNA27Zt2b9/P1WqVMHf3/+Jv+MKTrm5uZEwYcLo7KKIiIiIiIiIiIiIiIg8g2WMMTHdCBERkdguLCyMzz77jEWLFuHh4UGnTp3o2rUr3t7e9jauUAXA3Llz6dChA9evX6d169Z069aNxIkTx1TzRWK10NBQVq9eTY8ePTh8+DB169aNEpwC6NKlC4MGDQIgZ86clChRAn9/f7Zt28bPP/9M+vTp2bJlC6lSpcIYY1erEhERERERERERERERkf8mhaZERESeo6eFJSIiIvDw8CAsLIzAwECWLl1KqlSpmDdvHqVLl46ybeTg1Ndff03dunXx9vbm1KlTJEuWLNr6IfKqcI3ZvxKcGjduHDNnzmTPnj32Mj8/PwoVKsTcuXNJkyYNDocDd3f3mOiKiIiIiIiIiIiIiIiI/A0KTYmIiLwAc+fOZdeuXQwfPhwPD48owalPP/2UxYsXky5dOhYvXkyhQoWi7Bs5OLVo0SLy5ctH1qxZY6IbIrGKKyD1rEpQfyU4dfLkSU6cOMGhQ4cwxvD666+TN29eEiVKpMCUiIiIiIiIiIiIiIjIS0ShKRERkefIGMPVq1dJly4dERERdOjQgf79+/9hcGrRokUULlw4ynEiB6dE5N+LHJS6desWoaGh3Lx5kyRJkpAqVSp7u5CQENasWfPM4NSzAlcasyIiIiIiIiIiIiIiIi8XvdkRERF5jizLImXKlCxatIjEiRMzdOhQOnXqZAemIiIi8PLyYs6cOVSvXp1z585Ro0YNdu3aFeU4Cl+IPD+Rg07Lly/nk08+oVChQhQqVIiSJUvSsGFDzp8/T3h4OD4+PpQvX54+ffqQK1cuZsyYQd++fTl//vwf/g2NWRERERERERERERERkZeLKk2JiIg8R5HDGd9//z21atXi/v37tG3blkGDBv1hxalvvvmGggULxnAPRGKvmTNnUq9ePQCKFy+Op6cnhw4d4tatWxQrVoxOnTrx1ltvETduXMLCwli1alWUilM9evQgbdq0MdwLEREREREREREREREReR4UmhIREfmHXAGpx6frivz7ihUrqF279l8KTsWLF48NGzaQP3/+mOqSSKy1evVqKlWqRNy4cRk3bhy1atUC4Pbt23z88cf89NNPpE2blh9++IFcuXIBEBoayurVq+nRowfHjh2jSpUqjBw5Msp0fiIiIiIiIiIiIiIiIvJy0jwiIiIi/5ArGHXnzh0AnE6nvdyVSX7vvfeYN28e8ePHZ8SIEXTp0uWJqfrmzp1LhQoVuH//PnHjxo2RvojEVk6nk+DgYKZPn47T6WTEiBF2YArg0qVLXLp0CYDq1avbgSljDN7e3lSoUIF+/fqRNGlSduzYgY+PT4z0Q0RERERERERERERERJ4vVZoSERH5F6ZNm0bDhg3ZunUrxYoVw+l04ub2KJMcueLU8uXL+eCDDwDo0KED/fv3j1JxKjw8nGvXrpEmTZqY6opIrHX79m1y5cpFqlSp2LVrl718+/btNG3alIMHD9K5c2f69+//1P1DQ0PZuHEjefLkIUWKFFHGuYiIiIiIiIiIiIiIiLyc9LZHRETkX9i0aRMAFSpU4JdffsHNze2pFaeqVKnCjBkzABg6dChffvlllIpTnp6eCkyJvCD37t3j9u3bJE6c2F4WOTDVqVOnKIGpc+fOMWrUKPt3b29vypcvT4oUKXA4HApMiYiIiIiIiIiIiIiIxAJ64yMiIvIvzJo1i0aNGvHgwQNKly79p8GpAgUKYFkWI0eOpHnz5nZwSkT+Pde4i8zhcOBwOAA4evQod+/e5ZdffokSmBowYAAAISEhAPz222+0bduW6dOnP3E8d3f3F9gDERERERERERERERERiS6ank9EROQfihx4atCgAdOnT8fb25uNGzdSpEiRJ6bwMsbw5ptv4ubmxsaNGwG4cuUKyZMnj5H2i8RW48aNw9fXl3r16tnLPvvsMxYsWEDLli1Zt27dE4Gp0NBQvL29AShRogSnT59mzZo15M6dO0b6ICIiIiIiIiIiIiIiIi+WKk2JiIj8Qx4eHoSFhQEwdepU6tWrR2hoKKVLl2bXrl24ublhjLGr3MCjkFSdOnXYsGEDv/76qwJTIs/Z/v37admyJYMHD+b8+fP28ooVK+Lr68uYMWM4ePAg7du3twNTQUFBeHt7Y4yhefPmbN++nffee49MmTLFVDdERERERERERERERETkBVNoSkRE5A9ELsh46dIljhw5wooVK1i9ejXBwcFRtp06dSr169cnNDSUUqVKsWbNGizLsqfz6tq1KydPniRevHiUKlWKHDlyRGtfRF4F+fLlo2zZsty4cYN9+/bZy2vUqEH16tWJiIggbty4lCxZkhs3bgDg5+eH0+mkdevWTJgwgYIFC9K3b1/8/PxQUVYREREREREREREREZHYSdPziYiIPIMxBsuyAFi1ahU9evTg+PHj3Lt3D4DXX3+d8uXL07hxY1KlSmXv17BhQ6ZNm4aXlxf16tUjU6ZM7NmzhwULFpAtWzbWrVsXZXsReX6cTicjRoygY8eOFC1alPXr19vT7oWFhVG3bl3mz59PggQJeO2116hYsSK3bt1i8+bN7N27l0yZMvHzzz+TNm1aHA6HHXoUERERERERERERERGR2EWhKRERkT/x7bffUrVqVQDeeust4sWLx44dO7h16xYRERG8+eabTJ06lYwZM9r7dOrUiQkTJnD//n17WUBAACtXrlSFKZEX7N69e5QoUYJff/2V6dOnU6dOHcLDw/H09CQ8PJzBgwezcuVKtm/fbu+TJk0aSpUqxdChQ0mZMqUCUyIiIiIiIiIiIiIiIrGcQlMiIiJ/YNeuXVSsWJGHDx8yYcIE6tatC8C1a9dYunQpEyZM4PDhw7z++ussWLCAdOnS2fv++OOPHDlyhAMHDpA7d25q1KhB+vTpY6gnIrFH5Cpw8Ki6lJvbo1mnXWGnWbNm0ahRI6pWrcr8+fMB7OCUMYYbN26wefNmgoKCCAkJoXTp0qROnZo4ceIoMCUiIiIiIiIiIiIiIvIKUGhKREReaY+HLx5fPnjwYDp37kzPnj3p2bMn8L/gRXBwML/88gsdOnRg9+7dfPbZZ4wcOZJEiRJFdzdEXhmRx+y5c+eiBBUjrzty5AiVKlXi3LlzzJ8/n5o1az6xzZ8dX0RERERERERERERERGIvt5hugIiISExwZYZd4QiHwxFlvWv5tm3bAChTpgzwv8AUgK+vL8WLF6d9+/akTZuWDRs2cPToUeBR5RsRef5cY3PatGnky5ePTp06cfr0aUJCQrAsyx7Lr732Gl9++SUAS5Ys4c6dO38pEKXAlIiIiIiIiIiIiIiIyKtBoSkREXnlOJ1OLMsiJCSEffv20atXL3r37s25c+eibBcREUFoaCgAv/76KwAeHh5RtvH09KRMmTLkypWL8+fPs2DBAgB7qjARef6uXr3KTz/9xN27dxkyZAjvvfceLVq04MyZM1FCTxUqVCBv3rysWrWK48ePY1kWKrIqIiIiIiIiIiIiIiIioNCUiIi8YhwOB25ubty+fZuWLVtSqVIl+vTpQ79+/Vi1ahXXrl0DHlWi8vDwoGjRosD/QlNPC10kSZKEzz//HHd3d27evBm9HRJ5BaVIkYIFCxawdetWatasyf3795k+fTpFixalffv2/PzzzwBkyJCBypUr8+DBA7p168adO3dUSUpEREREREREREREREQAhaZEROQV4nQ6cXd358aNG7z11ltMmzYNf39/pkyZwqZNm/j4449Jnjw58L8pugoVKgTA2LFjmTt3rr3ONf1eREQE8KiylMPhUBUbkefMNaYijy3Xz8WKFWP8+PGsXbuWjz/+GA8PD0aNGkXZsmVp06YN27Zto0OHDhQtWpRDhw5x+PBh4MnpOEVEREREREREREREROTVYxm93RURkVeAMQbLsrh9+zblypVj7969fP7554wfPx5fX98/3LdXr1706dMHLy8v5s6dy0cfffTENnXq1GH27NmMHz+eJk2a2H9PRP45p9NpT3V5/fp1Hjx4wJ07d/Dy8iJXrlxRtjXGsHXrVlatWsWgQYNwOp34+PhQpkwZIiIiWL16NdWrV2fhwoUx0RURERERERERERERERH5j1FoSkREXhkhISE0a9aMmTNn8tlnnzFp0iS8vb1xOBy4u7s/sb0rsHHr1i06d+7MlClTABg5ciRly5YlU6ZMWJZFr169GDx4MDly5GD16tWkSZMmursmEutEDh4uW7aMoUOHcvjwYR48eABA7dq1CQwMpEyZMnh6ekbZd8uWLaxbt47Jkydz5coVPD09CQ8PJ2PGjOzdu5f48eNHe39ERERERERERERERETkv0WhKRERifVc4YuDBw/y7rvvkiRJEnbu3ImPj88zA1OPu3TpEiNGjGDkyJEApEyZklSpUhEUFMTRo0dJmTIla9euJUeOHC+6OyKvlJkzZ1KvXj0AKlasSIIECdi1axdnzpwhW7Zs1K1bl5YtW+Lj4/NEhbfLly8zePBgNmzYwOnTp/n1118JCAhQJTgRERERERERERERERFRaEpERF4d/fv3p3v37vTv35/OnTsTERGBh4fH3zrGpEmTmDdvHgcOHOD+/ftkyJCBQoUK0b9/fzJnzvyCWi7yalq7di2VKlXCx8eHyZMnU7NmTQDu3r1Lx44dmTJlCnHjxuW7777jrbfeirKvKxAZFhbGrVu38PT0JEmSJH85KCkiIiIiIiIiIiIiIiKx2997UywiIvISclWVOX78OAD58+cH+NuBKYDGjRtTrVo17ty5w7Vr18iUKRPx48fHz8/vubZZ5FXmdDpxOBwsXryY8PBwRo8ebQemAE6cOMH27dsBaN68+ROBKcAORnl5eZEiRQr7uApMiYiIiIiIiIiIiIiICCg0JSIirwBXUOLcuXMAXL9+/W8f4+LFi9y9e5ecOXOSNGlSkiZNqspSIi+Im5sbDx8+ZNOmTWTOnNmeng9g+/btNG3alMOHD9O5c2f69+9vr/uzKlJubm4vtN0iIiIiIiIiIiLyf+3dS4iV9R/H8c85M+qEhJia2XhhMnVRaHQVDVdFUAtbCC2KRBJN0IrIUYNsYebElIyFpi66SBsXEWoyEUkpaBERJWWBmIbaKKNNXggnnXn+CxlLvPwtdAY9r9dq4Dy/4fsszuq8+f4A4OrhlyMArnldEcX48eOTJPv3709yOqa6VB9//HFWrFiRtra2yz8gcI6jR4/mjz/+yPXXX5/evXsn+TuY2r59e+bPn39WMLVv376sWrXKdxQAAAAAAIBLIpoCoGIMHz48SdLU1JSdO3emXC6nKIqLnimKIp2dndm4cWPefvvt7NixoztGhWv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      "text/plain": [
       "<Figure size 3000x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用missingno库进行可视化展示\n",
    "missingno.matrix(fl_data,figsize=(30,5)) #以矩阵的形式\n",
    "#以条形图的方式查看\n",
    "missingno.bar(fl_data,sort='ascending',figsize=(30,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "35e49270",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 3000x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用missingno库进行可视化展示\n",
    "missingno.matrix(lr_data,figsize=(30,5)) #以矩阵的形式\n",
    "#以条形图的方式查看\n",
    "missingno.bar(lr_data,sort='ascending',figsize=(30,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "fe9d9860",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Countries and areas    0\n",
      "Development Regions    0\n",
      "Total                  0\n",
      "Female                 0\n",
      "Male                   0\n",
      "Rural                  0\n",
      "Urban                  0\n",
      "educational level      0\n",
      "dtype: int64\n",
      "删除后数据总量:  (318, 8)\n"
     ]
    }
   ],
   "source": [
    "# 处理缺失值\n",
    "cr_data.dropna(how='any', inplace=True)\n",
    "print(cr_data.isna().sum())\n",
    "print('删除后数据总量: ',cr_data.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a67f489f",
   "metadata": {},
   "source": [
    "# 完成率指标的探索"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9e29bfe5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "# 中文字体\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "713d3e6a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Total</th>\n",
       "      <th>Female</th>\n",
       "      <th>Male</th>\n",
       "      <th>Rural</th>\n",
       "      <th>Urban</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>318.000000</td>\n",
       "      <td>318.000000</td>\n",
       "      <td>318.000000</td>\n",
       "      <td>318.000000</td>\n",
       "      <td>318.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>61.283771</td>\n",
       "      <td>61.736976</td>\n",
       "      <td>61.024852</td>\n",
       "      <td>53.472349</td>\n",
       "      <td>70.171760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>29.727302</td>\n",
       "      <td>31.128094</td>\n",
       "      <td>28.623484</td>\n",
       "      <td>33.302455</td>\n",
       "      <td>25.369294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.181800</td>\n",
       "      <td>1.381436</td>\n",
       "      <td>3.600000</td>\n",
       "      <td>0.113173</td>\n",
       "      <td>7.508962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>34.400001</td>\n",
       "      <td>33.824902</td>\n",
       "      <td>35.064997</td>\n",
       "      <td>21.519791</td>\n",
       "      <td>50.457558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>64.449997</td>\n",
       "      <td>66.450001</td>\n",
       "      <td>63.667501</td>\n",
       "      <td>51.491251</td>\n",
       "      <td>75.976048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>91.085077</td>\n",
       "      <td>91.849894</td>\n",
       "      <td>88.810240</td>\n",
       "      <td>87.515074</td>\n",
       "      <td>92.869047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Total      Female        Male       Rural       Urban\n",
       "count  318.000000  318.000000  318.000000  318.000000  318.000000\n",
       "mean    61.283771   61.736976   61.024852   53.472349   70.171760\n",
       "std     29.727302   31.128094   28.623484   33.302455   25.369294\n",
       "min      2.181800    1.381436    3.600000    0.113173    7.508962\n",
       "25%     34.400001   33.824902   35.064997   21.519791   50.457558\n",
       "50%     64.449997   66.450001   63.667501   51.491251   75.976048\n",
       "75%     91.085077   91.849894   88.810240   87.515074   92.869047\n",
       "max    100.000000  100.000000  100.000000  100.000000  100.000000"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看数据基本情况.\n",
    "cr_data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "205fe39a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Afghanistan                         3\n",
       "Saint Lucia                         3\n",
       "Republic of Moldova                 3\n",
       "Philippines                         3\n",
       "Peru                                3\n",
       "                                   ..\n",
       "Egypt                               3\n",
       "Ecuador                             3\n",
       "Dominican Republic                  3\n",
       "Democratic Republic of the Congo    3\n",
       "Zimbabwe                            3\n",
       "Name: Countries and areas, Length: 106, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 计算不同国家的数量\n",
    "cr_count = cr_data['Countries and areas'].value_counts()\n",
    "cr_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5c0d2bb0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Development Regions  Least Developed  Less Developed  More Developed\n",
      "Countries and areas                                                 \n",
      "Afghanistan               114.012428             NaN             NaN\n",
      "Albania                          NaN             NaN      270.540253\n",
      "Algeria                          NaN      178.846510             NaN\n",
      "Angola                    115.099979             NaN             NaN\n",
      "Armenia                          NaN      270.908226             NaN\n",
      "...                              ...             ...             ...\n",
      "Uruguay                          NaN      203.605232             NaN\n",
      "Viet Nam                         NaN      235.799995             NaN\n",
      "Yemen                     138.399998             NaN             NaN\n",
      "Zambia                    153.478806             NaN             NaN\n",
      "Zimbabwe                         NaN      152.700002             NaN\n",
      "\n",
      "[106 rows x 3 columns]\n"
     ]
    }
   ],
   "source": [
    "df = pd.DataFrame(cr_data)\n",
    "# 创建数据透视表，以国家和地区为行索引，经济状态为列，计算总完成率\n",
    "pivot = df.pivot_table(index='Countries and areas', columns='Development Regions', values='Total', aggfunc='sum') \n",
    "# 输出结果\n",
    "print(pivot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f5abc4c2",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "educational level    Lower secondary      Primary  Upper secondary\n",
      "Development Regions                                               \n",
      "Least Developed          1468.624127  2405.863615       779.928608\n",
      "Less Developed           4318.828777  5174.327423      3105.376543\n",
      "More Developed            777.787865   786.591629       670.910439\n"
     ]
    }
   ],
   "source": [
    "# 创建数据透视表，以经济状态为行索引，教育级别为列，计算总完成率\n",
    "pivot = df.pivot_table(index='Development Regions', columns='educational level', values='Total', aggfunc='sum') \n",
    "# 输出结果\n",
    "print(pivot)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38ec29b0",
   "metadata": {},
   "source": [
    "完成率指标热力图绘制"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "88a64dec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 计算相关性\n",
    "a = cr_data.corr()\n",
    "\n",
    "# 绘制相关性热力图\n",
    "plt.figure(figsize=(8, 5))\n",
    "\n",
    "sns.heatmap(a, annot=True, cmap=\"YlGnBu\", linewidths=0.2, fmt='.2f')\n",
    "plt.title('相关性热力图')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7411f21f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 10000x2500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制柱状图\n",
    "plt.figure(figsize=(100,25))\n",
    "plt.bar(cr_data['Countries and areas'],cr_data['Female'],label='女性')\n",
    "plt.bar(cr_data['Countries and areas'],cr_data['Male'],bottom=cr_data['Female'],label='男性')\n",
    "plt.title('不同国家之间的男女受教育人数')\n",
    "plt.xlabel('城市')\n",
    "plt.ylabel('人数')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "4b18a967",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#不同国家发展程度的受教育人数\n",
    "plt.figure(figsize=(8,5))\n",
    "plt.bar(cr_data['Development Regions'],cr_data['Total'],color='c')\n",
    "plt.title('不同国家发展程度的受教育人数')\n",
    "plt.xlabel('国家发展程度')\n",
    "plt.ylabel('受教育总人数人数')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "f705b7ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                           Female          Male\n",
      "Development Regions                            \n",
      "Least Developed       4525.291383   4823.828571\n",
      "Less Developed       12850.561497  12367.489270\n",
      "More Developed        2256.505486   2214.585171\n"
     ]
    }
   ],
   "source": [
    "# 创建数据透视表，以国家和地区为行索引，经济状态为列，计算总完成率\n",
    "pivot = df.pivot_table(index='Development Regions', values=['Male','Female'], aggfunc='sum') \n",
    "# 输出结果\n",
    "print(pivot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "2bc1abfd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/v5/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"38c6f0a90f734aa6b349cd1b8d6aed39\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_38c6f0a90f734aa6b349cd1b8d6aed39 = echarts.init(\n",
       "                    document.getElementById('38c6f0a90f734aa6b349cd1b8d6aed39'), 'white', {renderer: 'canvas'});\n",
       "                var option_38c6f0a90f734aa6b349cd1b8d6aed39 = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"aria\": {\n",
       "        \"enabled\": false\n",
       "    },\n",
       "    \"color\": [\n",
       "        \"#5470c6\",\n",
       "        \"#91cc75\",\n",
       "        \"#fac858\",\n",
       "        \"#ee6666\",\n",
       "        \"#73c0de\",\n",
       "        \"#3ba272\",\n",
       "        \"#fc8452\",\n",
       "        \"#9a60b4\",\n",
       "        \"#ea7ccc\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"\\u7537\\u6027\",\n",
       "            \"legendHoverLink\": true,\n",
       "            \"data\": [\n",
       "                4823.828571,\n",
       "                12367.48927,\n",
       "                2214.585171\n",
       "            ],\n",
       "            \"realtimeSort\": false,\n",
       "            \"showBackground\": false,\n",
       "            \"stackStrategy\": \"samesign\",\n",
       "            \"cursor\": \"pointer\",\n",
       "            \"barMinHeight\": 0,\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"barGap\": \"30%\",\n",
       "            \"large\": false,\n",
       "            \"largeThreshold\": 400,\n",
       "            \"seriesLayoutBy\": \"column\",\n",
       "            \"datasetIndex\": 0,\n",
       "            \"clip\": true,\n",
       "            \"zlevel\": 0,\n",
       "            \"z\": 2,\n",
       "            \"label\": {\n",
       "                \"show\": false,\n",
       "                \"margin\": 8\n",
       "            },\n",
       "            \"markPoint\": {\n",
       "                \"label\": {\n",
       "                    \"show\": true,\n",
       "                    \"position\": \"inside\",\n",
       "                    \"color\": \"#fff\",\n",
       "                    \"margin\": 8\n",
       "                },\n",
       "                \"data\": [\n",
       "                    {\n",
       "                        \"name\": \"\\u6700\\u5c0f\\u503c\",\n",
       "                        \"type\": \"min\"\n",
       "                    },\n",
       "                    {\n",
       "                        \"name\": \"\\u6700\\u5927\\u503c\",\n",
       "                        \"type\": \"max\"\n",
       "                    },\n",
       "                    {\n",
       "                        \"name\": \"\\u5e73\\u5747\\u503c\",\n",
       "                        \"type\": \"average\"\n",
       "                    }\n",
       "                ]\n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        },\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"\\u5973\\u6027\",\n",
       "            \"legendHoverLink\": true,\n",
       "            \"data\": [\n",
       "                2214.585171,\n",
       "                12850.561497,\n",
       "                2256.505486\n",
       "            ],\n",
       "            \"realtimeSort\": false,\n",
       "            \"showBackground\": false,\n",
       "            \"stackStrategy\": \"samesign\",\n",
       "            \"cursor\": \"pointer\",\n",
       "            \"barMinHeight\": 0,\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"barGap\": \"30%\",\n",
       "            \"large\": false,\n",
       "            \"largeThreshold\": 400,\n",
       "            \"seriesLayoutBy\": \"column\",\n",
       "            \"datasetIndex\": 0,\n",
       "            \"clip\": true,\n",
       "            \"zlevel\": 0,\n",
       "            \"z\": 2,\n",
       "            \"label\": {\n",
       "                \"show\": false,\n",
       "                \"margin\": 8\n",
       "            },\n",
       "            \"markPoint\": {\n",
       "                \"label\": {\n",
       "                    \"show\": true,\n",
       "                    \"position\": \"inside\",\n",
       "                    \"color\": \"#fff\",\n",
       "                    \"margin\": 8\n",
       "                },\n",
       "                \"data\": [\n",
       "                    {\n",
       "                        \"name\": \"\\u6700\\u5c0f\\u503c\",\n",
       "                        \"type\": \"min\"\n",
       "                    },\n",
       "                    {\n",
       "                        \"name\": \"\\u6700\\u5927\\u503c\",\n",
       "                        \"type\": \"max\"\n",
       "                    },\n",
       "                    {\n",
       "                        \"name\": \"\\u5e73\\u5747\\u503c\",\n",
       "                        \"type\": \"average\"\n",
       "                    }\n",
       "                ]\n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u7537\\u6027\",\n",
       "                \"\\u5973\\u6027\"\n",
       "            ],\n",
       "            \"selected\": {},\n",
       "            \"show\": true,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14,\n",
       "            \"backgroundColor\": \"transparent\",\n",
       "            \"borderColor\": \"#ccc\",\n",
       "            \"borderWidth\": 1,\n",
       "            \"borderRadius\": 0,\n",
       "            \"pageButtonItemGap\": 5,\n",
       "            \"pageButtonPosition\": \"end\",\n",
       "            \"pageFormatter\": \"{current}/{total}\",\n",
       "            \"pageIconColor\": \"#2f4554\",\n",
       "            \"pageIconInactiveColor\": \"#aaa\",\n",
       "            \"pageIconSize\": 15,\n",
       "            \"animationDurationUpdate\": 800,\n",
       "            \"selector\": false,\n",
       "            \"selectorPosition\": \"auto\",\n",
       "            \"selectorItemGap\": 7,\n",
       "            \"selectorButtonGap\": 10\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"showContent\": true,\n",
       "        \"alwaysShowContent\": false,\n",
       "        \"showDelay\": 0,\n",
       "        \"hideDelay\": 100,\n",
       "        \"enterable\": false,\n",
       "        \"confine\": false,\n",
       "        \"appendToBody\": false,\n",
       "        \"transitionDuration\": 0.4,\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5,\n",
       "        \"order\": \"seriesAsc\"\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"Least Developed\",\n",
       "                \"Less Developed\",\n",
       "                \"More Developed\",\n",
       "                \"Not Classified\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"text\": \"\\u4e0d\\u540c\\u56fd\\u5bb6\\u53d1\\u5c55\\u7a0b\\u5ea6\\u7684\\u53d7\\u6559\\u80b2\\u7537\\u5973\\u4eba\\u6570\\u5bf9\\u6bd4\\u60c5\\u51b5\",\n",
       "            \"target\": \"blank\",\n",
       "            \"subtext\": \"\\u67f1\\u72b6\\u56fe\",\n",
       "            \"subtarget\": \"blank\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"textAlign\": \"auto\",\n",
       "            \"textVerticalAlign\": \"auto\",\n",
       "            \"triggerEvent\": false\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_38c6f0a90f734aa6b349cd1b8d6aed39.setOption(option_38c6f0a90f734aa6b349cd1b8d6aed39);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x215b8d1f3d0>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyecharts import options as opts\n",
    "from pyecharts.charts import *\n",
    "\n",
    "x_index = [\"Least Developed\",\"Less Developed\",\"More Developed\",\"Not Classified\"]\n",
    "man_value1 = [4823.828571, 12367.489270,2214.585171]\n",
    "woman_value2 = [2214.585171,12850.561497,2256.505486]\n",
    "\n",
    "\n",
    "bar = (\n",
    "    Bar()\n",
    "    .add_xaxis(x_index)\n",
    "    .add_yaxis(\"男性\",man_value1) # y轴设置\n",
    "    .add_yaxis(\"女性\",woman_value2) # y轴设置\n",
    "    .set_global_opts(title_opts=opts.TitleOpts(title=\"不同国家发展程度的受教育男女人数对比情况\", subtitle=\"柱状图\"))\n",
    "    .set_series_opts(label_opts=opts.LabelOpts(is_show=False),\n",
    "                    markpoint_opts=opts.MarkPointOpts(\n",
    "                        data=[\n",
    "                opts.MarkPointItem(type_=\"min\", name=\"最小值\"),\n",
    "                opts.MarkPointItem(type_=\"max\", name=\"最大值\"),\n",
    "                opts.MarkPointItem(type_=\"average\", name=\"平均值\")])\n",
    "                    )\n",
    "    )\n",
    "\n",
    "bar.render_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da9b1a0c",
   "metadata": {},
   "source": [
    "# 不同年龄段儿童掌握基础学习技能数据分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "739dda19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Total</th>\n",
       "      <th>Girls</th>\n",
       "      <th>Boys</th>\n",
       "      <th>Rural</th>\n",
       "      <th>Urban</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>94.000000</td>\n",
       "      <td>94.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>26.198632</td>\n",
       "      <td>27.131777</td>\n",
       "      <td>25.470714</td>\n",
       "      <td>22.350986</td>\n",
       "      <td>29.768563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>21.036023</td>\n",
       "      <td>22.361859</td>\n",
       "      <td>20.346177</td>\n",
       "      <td>21.112209</td>\n",
       "      <td>21.387091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.394631</td>\n",
       "      <td>0.051010</td>\n",
       "      <td>0.473044</td>\n",
       "      <td>0.022533</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>7.432622</td>\n",
       "      <td>7.059242</td>\n",
       "      <td>7.625648</td>\n",
       "      <td>4.550694</td>\n",
       "      <td>12.301420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>21.480844</td>\n",
       "      <td>21.059666</td>\n",
       "      <td>20.877780</td>\n",
       "      <td>13.027112</td>\n",
       "      <td>24.972675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>43.923937</td>\n",
       "      <td>45.792249</td>\n",
       "      <td>38.673675</td>\n",
       "      <td>36.599011</td>\n",
       "      <td>44.219891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>81.800000</td>\n",
       "      <td>84.400000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>83.400000</td>\n",
       "      <td>79.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Total       Girls        Boys      Rural      Urban\n",
       "count  100.000000  100.000000  100.000000  94.000000  94.000000\n",
       "mean    26.198632   27.131777   25.470714  22.350986  29.768563\n",
       "std     21.036023   22.361859   20.346177  21.112209  21.387091\n",
       "min      0.394631    0.051010    0.473044   0.022533   0.000000\n",
       "25%      7.432622    7.059242    7.625648   4.550694  12.301420\n",
       "50%     21.480844   21.059666   20.877780  13.027112  24.972675\n",
       "75%     43.923937   45.792249   38.673675  36.599011  44.219891\n",
       "max     81.800000   84.400000   82.000000  83.400000  79.000000"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看数据基本情况.\n",
    "fl_data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "82ddcbc9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Development regions               Least Developed  Less Developed  \\\n",
      "Countries and areas                                                 \n",
      "Bangladesh                             113.830599             NaN   \n",
      "Central African Republic                 8.392040             NaN   \n",
      "Chad                                    19.148479             NaN   \n",
      "Democratic Republic of the Congo        18.154334             NaN   \n",
      "Gambia                                  29.963868             NaN   \n",
      "Ghana                                         NaN       50.699035   \n",
      "Guinea-Bissau                           30.200680             NaN   \n",
      "Kiribati                                97.995233             NaN   \n",
      "Kyrgyzstan                                    NaN      177.910460   \n",
      "Lesotho                                 70.978332             NaN   \n",
      "Madagascar                              48.152542             NaN   \n",
      "Mongolia                                      NaN      183.662243   \n",
      "Nepal                                  115.536930             NaN   \n",
      "North Macedonia                               NaN             NaN   \n",
      "Pakistan (Punjab)                             NaN       80.474576   \n",
      "Sao Tome and Principe                  112.030909             NaN   \n",
      "Sierra Leone                            39.725207             NaN   \n",
      "State of Palestine                            NaN      150.759470   \n",
      "Suriname                                      NaN       99.314558   \n",
      "Thailand                                      NaN      249.539474   \n",
      "Togo                                    33.607729             NaN   \n",
      "Tonga                                         NaN      187.300000   \n",
      "Tunisia                                       NaN      156.515194   \n",
      "Turkmenistan                                  NaN      276.300000   \n",
      "Zimbabwe                                      NaN       93.671302   \n",
      "\n",
      "Development regions               More Developed  \n",
      "Countries and areas                               \n",
      "Bangladesh                                   NaN  \n",
      "Central African Republic                     NaN  \n",
      "Chad                                         NaN  \n",
      "Democratic Republic of the Congo             NaN  \n",
      "Gambia                                       NaN  \n",
      "Ghana                                        NaN  \n",
      "Guinea-Bissau                                NaN  \n",
      "Kiribati                                     NaN  \n",
      "Kyrgyzstan                                   NaN  \n",
      "Lesotho                                      NaN  \n",
      "Madagascar                                   NaN  \n",
      "Mongolia                                     NaN  \n",
      "Nepal                                        NaN  \n",
      "North Macedonia                            176.0  \n",
      "Pakistan (Punjab)                            NaN  \n",
      "Sao Tome and Principe                        NaN  \n",
      "Sierra Leone                                 NaN  \n",
      "State of Palestine                           NaN  \n",
      "Suriname                                     NaN  \n",
      "Thailand                                     NaN  \n",
      "Togo                                         NaN  \n",
      "Tonga                                        NaN  \n",
      "Tunisia                                      NaN  \n",
      "Turkmenistan                                 NaN  \n",
      "Zimbabwe                                     NaN  \n"
     ]
    }
   ],
   "source": [
    "df = pd.DataFrame(fl_data)\n",
    "# 创建数据透视表，以国家和地区为行索引，经济状态为列，计算总完成率\n",
    "pivot = df.pivot_table(index='Countries and areas', columns='Development regions', values='Total', aggfunc='sum') \n",
    "# 输出结果\n",
    "print(pivot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "57032bef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Age group            Age 7 to 14   Grade 2/3\n",
      "Development regions                         \n",
      "Least Developed       494.004570  243.712312\n",
      "Less Developed       1045.384251  660.762059\n",
      "More Developed        105.200000   70.800000\n"
     ]
    }
   ],
   "source": [
    "# 创建数据透视表，以经济状态为行索引，年龄组别为列，计算总完成率\n",
    "pivot = df.pivot_table(index='Development regions', columns='Age group', values='Total', aggfunc='sum') \n",
    "# 输出结果\n",
    "print(pivot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "dc1e7ded",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Subject                Numeracy      Reading\n",
      "Development regions                         \n",
      "Least Developed      279.054863   458.662019\n",
      "Less Developed       694.300301  1011.846010\n",
      "More Developed        66.400000   109.600000\n"
     ]
    }
   ],
   "source": [
    "# 创建数据透视表，以经济状态为行索引，年龄组别为列，计算总完成率\n",
    "pivot = df.pivot_table(index='Development regions', columns='Subject', values='Total', aggfunc='sum') \n",
    "# 输出结果\n",
    "print(pivot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "377e0ee6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 计算相关性\n",
    "a = fl_data.corr()\n",
    "# 绘制相关性热力图\n",
    "plt.figure(figsize=(8, 5))\n",
    "sns.heatmap(a, annot=True, cmap=\"BuGn\", linewidths=0.2, fmt='.2f')\n",
    "plt.title('相关性热力图')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
